Vorobyev_Dmitry_train_model.ipynb

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            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
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            "_view_module_version": "1.2.0",
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          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "model_module_version": "1.2.0",
          "state": {
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            "grid_template_rows": null,
            "right": null,
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  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "lJz6FDU1lRzc",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b7fd14cc-9ea6-4043-c41a-26a59ab781a7"
      },
      "source": [
        "!pip install wget\n",
        "!apt-get install sox libsndfile1 ffmpeg\n",
        "!pip install unidecode\n",
        "!python -m pip install nemo_toolkit[all]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting wget\n",
            "  Downloading wget-3.2.zip (10 kB)\n",
            "Building wheels for collected packages: wget\n",
            "  Building wheel for wget (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9672 sha256=943ece5b5f7b3b37f4be723a50a1be6a87e4103a4f76349e42c292b5507a8b40\n",
            "  Stored in directory: /root/.cache/pip/wheels/a1/b6/7c/0e63e34eb06634181c63adacca38b79ff8f35c37e3c13e3c02\n",
            "Successfully built wget\n",
            "Installing collected packages: wget\n",
            "Successfully installed wget-3.2\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "libsndfile1 is already the newest version (1.0.28-4ubuntu0.18.04.2).\n",
            "ffmpeg is already the newest version (7:3.4.8-0ubuntu0.2).\n",
            "The following additional packages will be installed:\n",
            "  libmagic-mgc libmagic1 libopencore-amrnb0 libopencore-amrwb0 libsox-fmt-alsa\n",
            "  libsox-fmt-base libsox3\n",
            "Suggested packages:\n",
            "  file libsox-fmt-all\n",
            "The following NEW packages will be installed:\n",
            "  libmagic-mgc libmagic1 libopencore-amrnb0 libopencore-amrwb0 libsox-fmt-alsa\n",
            "  libsox-fmt-base libsox3 sox\n",
            "0 upgraded, 8 newly installed, 0 to remove and 37 not upgraded.\n",
            "Need to get 760 kB of archives.\n",
            "After this operation, 6,717 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libopencore-amrnb0 amd64 0.1.3-2.1 [92.0 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libopencore-amrwb0 amd64 0.1.3-2.1 [45.8 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libmagic-mgc amd64 1:5.32-2ubuntu0.4 [184 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libmagic1 amd64 1:5.32-2ubuntu0.4 [68.6 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libsox3 amd64 14.4.2-3ubuntu0.18.04.1 [226 kB]\n",
            "Get:6 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libsox-fmt-alsa amd64 14.4.2-3ubuntu0.18.04.1 [10.6 kB]\n",
            "Get:7 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libsox-fmt-base amd64 14.4.2-3ubuntu0.18.04.1 [32.1 kB]\n",
            "Get:8 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 sox amd64 14.4.2-3ubuntu0.18.04.1 [101 kB]\n",
            "Fetched 760 kB in 1s (668 kB/s)\n",
            "Selecting previously unselected package libopencore-amrnb0:amd64.\n",
            "(Reading database ... 155222 files and directories currently installed.)\n",
            "Preparing to unpack .../0-libopencore-amrnb0_0.1.3-2.1_amd64.deb ...\n",
            "Unpacking libopencore-amrnb0:amd64 (0.1.3-2.1) ...\n",
            "Selecting previously unselected package libopencore-amrwb0:amd64.\n",
            "Preparing to unpack .../1-libopencore-amrwb0_0.1.3-2.1_amd64.deb ...\n",
            "Unpacking libopencore-amrwb0:amd64 (0.1.3-2.1) ...\n",
            "Selecting previously unselected package libmagic-mgc.\n",
            "Preparing to unpack .../2-libmagic-mgc_1%3a5.32-2ubuntu0.4_amd64.deb ...\n",
            "Unpacking libmagic-mgc (1:5.32-2ubuntu0.4) ...\n",
            "Selecting previously unselected package libmagic1:amd64.\n",
            "Preparing to unpack .../3-libmagic1_1%3a5.32-2ubuntu0.4_amd64.deb ...\n",
            "Unpacking libmagic1:amd64 (1:5.32-2ubuntu0.4) ...\n",
            "Selecting previously unselected package libsox3:amd64.\n",
            "Preparing to unpack .../4-libsox3_14.4.2-3ubuntu0.18.04.1_amd64.deb ...\n",
            "Unpacking libsox3:amd64 (14.4.2-3ubuntu0.18.04.1) ...\n",
            "Selecting previously unselected package libsox-fmt-alsa:amd64.\n",
            "Preparing to unpack .../5-libsox-fmt-alsa_14.4.2-3ubuntu0.18.04.1_amd64.deb ...\n",
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            "Selecting previously unselected package libsox-fmt-base:amd64.\n",
            "Preparing to unpack .../6-libsox-fmt-base_14.4.2-3ubuntu0.18.04.1_amd64.deb ...\n",
            "Unpacking libsox-fmt-base:amd64 (14.4.2-3ubuntu0.18.04.1) ...\n",
            "Selecting previously unselected package sox.\n",
            "Preparing to unpack .../7-sox_14.4.2-3ubuntu0.18.04.1_amd64.deb ...\n",
            "Unpacking sox (14.4.2-3ubuntu0.18.04.1) ...\n",
            "Setting up libmagic-mgc (1:5.32-2ubuntu0.4) ...\n",
            "Setting up libmagic1:amd64 (1:5.32-2ubuntu0.4) ...\n",
            "Setting up libopencore-amrnb0:amd64 (0.1.3-2.1) ...\n",
            "Setting up libopencore-amrwb0:amd64 (0.1.3-2.1) ...\n",
            "Setting up libsox3:amd64 (14.4.2-3ubuntu0.18.04.1) ...\n",
            "Setting up libsox-fmt-base:amd64 (14.4.2-3ubuntu0.18.04.1) ...\n",
            "Setting up libsox-fmt-alsa:amd64 (14.4.2-3ubuntu0.18.04.1) ...\n",
            "Setting up sox (14.4.2-3ubuntu0.18.04.1) ...\n",
            "Processing triggers for libc-bin (2.27-3ubuntu1.3) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
            "\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Processing triggers for mime-support (3.60ubuntu1) ...\n",
            "Collecting unidecode\n",
            "  Downloading Unidecode-1.3.2-py3-none-any.whl (235 kB)\n",
            "\u001b[K     |████████████████████████████████| 235 kB 5.3 MB/s \n",
            "\u001b[?25hInstalling collected packages: unidecode\n",
            "Successfully installed unidecode-1.3.2\n",
            "Collecting nemo_toolkit[all]\n",
            "  Downloading nemo_toolkit-1.5.0-py3-none-any.whl (2.7 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.7 MB 5.3 MB/s \n",
            "\u001b[?25hCollecting ruamel.yaml\n",
            "  Downloading ruamel.yaml-0.17.17-py3-none-any.whl (109 kB)\n",
            "\u001b[K     |████████████████████████████████| 109 kB 46.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: wrapt in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (1.13.3)\n",
            "Requirement already satisfied: numpy>=1.18.2 in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (1.19.5)\n",
            "Collecting onnx>=1.7.0\n",
            "  Downloading onnx-1.10.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (12.7 MB)\n",
            "\u001b[K     |████████████████████████████████| 12.7 MB 29.5 MB/s \n",
            "\u001b[?25hRequirement already satisfied: scikit-learn in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (1.0.1)\n",
            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (2.8.2)\n",
            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (4.62.3)\n",
            "Collecting frozendict\n",
            "  Downloading frozendict-2.1.1-py3-none-any.whl (12 kB)\n",
            "Requirement already satisfied: numba in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (0.51.2)\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (1.10.0+cu111)\n",
            "Collecting sentencepiece<1.0.0\n",
            "  Downloading sentencepiece-0.1.96-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.2 MB 37.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: unidecode in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (1.3.2)\n",
            "Requirement already satisfied: wget in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (3.2)\n",
            "Requirement already satisfied: librosa in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (0.8.1)\n",
            "Requirement already satisfied: ipywidgets in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (7.6.5)\n",
            "Collecting pystoi\n",
            "  Downloading pystoi-0.3.3.tar.gz (7.0 kB)\n",
            "Collecting matplotlib>=3.3.2\n",
            "  Downloading matplotlib-3.5.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl (11.2 MB)\n",
            "\u001b[K     |████████████████████████████████| 11.2 MB 36.0 MB/s \n",
            "\u001b[?25hRequirement already satisfied: inflect in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (2.1.0)\n",
            "Collecting sphinxcontrib-bibtex\n",
            "  Downloading sphinxcontrib_bibtex-2.4.1-py3-none-any.whl (38 kB)\n",
            "Requirement already satisfied: pytest in /usr/local/lib/python3.7/dist-packages (from nemo_toolkit[all]) (3.6.4)\n",
            "Collecting kaldi-io\n",
            "  Downloading kaldi_io-0.9.4-py3-none-any.whl (14 kB)\n",
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            "Collecting hydra-core>=1.1.0\n",
            "  Downloading hydra_core-1.1.1-py3-none-any.whl (145 kB)\n",
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            "\u001b[?25hCollecting braceexpand\n",
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            "\u001b[?25hCollecting isort[requirements]<5\n",
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            "  Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
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            "  Downloading youtokentome-1.0.6-cp37-cp37m-manylinux2010_x86_64.whl (1.7 MB)\n",
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            "\u001b[?25hCollecting omegaconf>=2.1.0\n",
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            "\u001b[?25hCollecting torchmetrics>=0.4.1rc0\n",
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            "\u001b[?25hCollecting black==19.10b0\n",
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            "  Downloading sacrebleu-2.0.0-py3-none-any.whl (90 kB)\n",
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            "\u001b[?25hCollecting parameterized\n",
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            "  Downloading OpenCC-1.1.3-cp37-cp37m-manylinux1_x86_64.whl (766 kB)\n",
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            "\u001b[?25hCollecting wandb\n",
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            "\u001b[?25hCollecting pyannote.core\n",
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            "\u001b[?25hCollecting boto3\n",
            "  Downloading boto3-1.20.17-py3-none-any.whl (131 kB)\n",
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            "\u001b[?25hCollecting sox\n",
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            "Collecting wordninja==2.0.0\n",
            "  Downloading wordninja-2.0.0.tar.gz (541 kB)\n",
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            "Collecting transformers>=4.0.1\n",
            "  Downloading transformers-4.12.5-py3-none-any.whl (3.1 MB)\n",
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            "  Downloading kaldiio-2.17.2.tar.gz (24 kB)\n",
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            "  Using cached pytest_runner-5.3.1-py3-none-any.whl (7.1 kB)\n",
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            "\u001b[?25hCollecting smmap<6,>=3.0.1\n",
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            "Requirement already satisfied: termcolor<2.0.0,>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from yaspin>=1.0.0->wandb->nemo_toolkit[all]) (1.1.0)\n",
            "Building wheels for collected packages: wordninja, antlr4-python3-runtime, future, fasttext, distance, kaldi-python-io, kaldiio, pesq, pystoi, ipadic, subprocess32, pathtools\n",
            "  Building wheel for wordninja (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wordninja: filename=wordninja-2.0.0-py3-none-any.whl size=541551 sha256=63676c76ce871ad2fcdb09a2e9f7684334716da6fbc5cded4dd97487d159f82d\n",
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            "  Created wheel for fasttext: filename=fasttext-0.9.2-cp37-cp37m-linux_x86_64.whl size=3121006 sha256=4af46fe46fae6a02bf9299e50e0c78e85180200094abb38efa9754a873673958\n",
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            "  Created wheel for distance: filename=Distance-0.1.3-py3-none-any.whl size=16275 sha256=50bee2d2515c18475632b8a2d3d4a5ea3501c87115f01e1d22480b32abcb1435\n",
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            "  Created wheel for kaldi-python-io: filename=kaldi_python_io-1.2.2-py3-none-any.whl size=8968 sha256=2427d2bdb9c7a80f13e88a37ced008b7cdb0826a0aef70b12074d5349b472431\n",
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            "  Created wheel for pesq: filename=pesq-0.0.3-cp37-cp37m-linux_x86_64.whl size=209959 sha256=c30a1f53388ca5ab90c69afdab777af008dd9893566d0366da3fd29af4b4d142\n",
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            "  Created wheel for ipadic: filename=ipadic-1.0.0-py3-none-any.whl size=13556723 sha256=d4f6547bc8df71e0b75d21588160b06443fcfb2b57ff91a0090b08f7b910d3c2\n",
            "  Stored in directory: /root/.cache/pip/wheels/33/8b/99/cf0d27191876637cd3639a560f93aa982d7855ce826c94348b\n",
            "  Building wheel for subprocess32 (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for subprocess32: filename=subprocess32-3.5.4-py3-none-any.whl size=6502 sha256=20f3ea84f621dec79050c07b3ee9e9659782b002fe4679333b2d99fa0ed86146\n",
            "  Stored in directory: /root/.cache/pip/wheels/50/ca/fa/8fca8d246e64f19488d07567547ddec8eb084e8c0d7a59226a\n",
            "  Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pathtools: filename=pathtools-0.1.2-py3-none-any.whl size=8807 sha256=8595889ea7ec1bc498f6f682b3f8b5cbdb79cde1b78db16a14e5560814a89b49\n",
            "  Stored in directory: /root/.cache/pip/wheels/3e/31/09/fa59cef12cdcfecc627b3d24273699f390e71828921b2cbba2\n",
            "Successfully built wordninja antlr4-python3-runtime future fasttext distance kaldi-python-io kaldiio pesq pystoi ipadic subprocess32 pathtools\n",
            "Installing collected packages: urllib3, multidict, frozenlist, yarl, typer, smmap, simplejson, shellingham, pyyaml, latexcodec, jmespath, colorama, asynctest, async-timeout, aiosignal, yarg, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, ruamel.yaml.clib, regex, pybtex, pyannote.core, portalocker, gitdb, fsspec, botocore, antlr4-python3-runtime, aiohttp, yaspin, typed-ast, torchmetrics, tokenizers, subprocess32, sphinx, shortuuid, sentry-sdk, sentencepiece, sacremoses, sacrebleu, s3transfer, ruamel.yaml, pyDeprecate, pybtex-docutils, pybind11, pyannote.database, pipreqs, pip-api, pathtools, pathspec, onnx, omegaconf, nltk, mecab-python3, isort, ipadic, huggingface-hub, GitPython, future, frozendict, docker-pycreds, distance, configparser, braceexpand, youtokentome, wordninja, webdataset, wandb, transformers, torch-stft, sphinxcontrib-bibtex, sox, rapidfuzz, pytorch-lightning, pytest-runner, pystoi, pypinyin, pydub, pyannote.metrics, pesq, parameterized, pangu, opencc, nemo-toolkit, marshmallow, kaldiio, kaldi-python-io, kaldi-io, hydra-core, g2p-en, fasttext, boto3, black, attrdict\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
            "  Attempting uninstall: pyyaml\n",
            "    Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "  Attempting uninstall: regex\n",
            "    Found existing installation: regex 2019.12.20\n",
            "    Uninstalling regex-2019.12.20:\n",
            "      Successfully uninstalled regex-2019.12.20\n",
            "  Attempting uninstall: sphinx\n",
            "    Found existing installation: Sphinx 1.8.6\n",
            "    Uninstalling Sphinx-1.8.6:\n",
            "      Successfully uninstalled Sphinx-1.8.6\n",
            "  Attempting uninstall: nltk\n",
            "    Found existing installation: nltk 3.2.5\n",
            "    Uninstalling nltk-3.2.5:\n",
            "      Successfully uninstalled nltk-3.2.5\n",
            "  Attempting uninstall: future\n",
            "    Found existing installation: future 0.16.0\n",
            "    Uninstalling future-0.16.0:\n",
            "      Successfully uninstalled future-0.16.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n",
            "Successfully installed GitPython-3.1.24 aiohttp-3.8.1 aiosignal-1.2.0 antlr4-python3-runtime-4.8 async-timeout-4.0.1 asynctest-0.13.0 attrdict-2.0.1 black-19.10b0 boto3-1.20.17 botocore-1.23.17 braceexpand-0.1.7 colorama-0.4.4 configparser-5.1.0 distance-0.1.3 docker-pycreds-0.4.0 fasttext-0.9.2 frozendict-2.1.1 frozenlist-1.2.0 fsspec-2021.11.1 future-0.18.2 g2p-en-2.1.0 gitdb-4.0.9 huggingface-hub-0.1.2 hydra-core-1.1.1 ipadic-1.0.0 isort-4.3.21 jmespath-0.10.0 kaldi-io-0.9.4 kaldi-python-io-1.2.2 kaldiio-2.17.2 latexcodec-2.0.1 marshmallow-3.14.1 mecab-python3-1.0.3 multidict-5.2.0 nemo-toolkit-1.5.0 nltk-3.6.5 omegaconf-2.1.1 onnx-1.10.2 opencc-1.1.3 pangu-4.0.6.1 parameterized-0.8.1 pathspec-0.9.0 pathtools-0.1.2 pesq-0.0.3 pip-api-0.0.23 pipreqs-0.4.11 portalocker-2.3.2 pyDeprecate-0.3.1 pyannote.core-4.3 pyannote.database-4.1.1 pyannote.metrics-3.1 pybind11-2.8.1 pybtex-0.24.0 pybtex-docutils-1.0.1 pydub-0.25.1 pypinyin-0.44.0 pystoi-0.3.3 pytest-runner-5.3.1 pytorch-lightning-1.5.4 pyyaml-5.4.1 rapidfuzz-1.8.3 regex-2021.11.10 ruamel.yaml-0.17.17 ruamel.yaml.clib-0.2.6 s3transfer-0.5.0 sacrebleu-2.0.0 sacremoses-0.0.46 sentencepiece-0.1.96 sentry-sdk-1.5.0 shellingham-1.4.0 shortuuid-1.0.8 simplejson-3.17.6 smmap-5.0.0 sox-1.4.1 sphinx-4.3.1 sphinxcontrib-applehelp-1.0.2 sphinxcontrib-bibtex-2.4.1 sphinxcontrib-devhelp-1.0.2 sphinxcontrib-htmlhelp-2.0.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.3 subprocess32-3.5.4 tokenizers-0.10.3 torch-stft-0.1.4 torchmetrics-0.6.0 transformers-4.12.5 typed-ast-1.5.0 typer-0.4.0 urllib3-1.25.11 wandb-0.12.7 webdataset-0.1.62 wordninja-2.0.0 yarg-0.1.9 yarl-1.7.2 yaspin-2.1.0 youtokentome-1.0.6\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gAhsmi6HlRzh"
      },
      "source": [
        "data_dir = '/content'"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WaWkbhaCbBoc"
      },
      "source": [
        "import glob\n",
        "import os\n",
        "import subprocess\n",
        "import tarfile\n",
        "import wget\n",
        "\n",
        "def load(golos_url, fname):\n",
        "  if not os.path.exists(os.path.join(data_dir, fname)):\n",
        "      golos_path = wget.download(golos_url, os.path.join(data_dir, fname))\n",
        "      print(f\"Dataset downloaded at: {golos_path}\")\n",
        "  else:\n",
        "      print(\"Tarfile already exists.\")\n",
        "      golos_path = os.path.join(data_dir, fname)\n",
        "  return golos_path\n",
        "\n",
        "\n",
        "golos_path = load(\"https://sc.link/Kqr\", \"test.tar\")\n",
        "\n",
        "if not os.path.exists(os.path.join(data_dir, '/test/')):\n",
        "    tar = tarfile.open(golos_path)\n",
        "    tar.extractall(path=data_dir)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Yb4fuUvWlRzk",
        "scrolled": true
      },
      "source": [
        "import glob\n",
        "import os\n",
        "import subprocess\n",
        "import tarfile\n",
        "import wget\n",
        "\n",
        "def load(golos_url, fname):\n",
        "  if not os.path.exists(os.path.join(data_dir, fname)):\n",
        "      golos_path = wget.download(golos_url, os.path.join(data_dir, fname))\n",
        "      print(f\"Dataset downloaded at: {golos_path}\")\n",
        "  else:\n",
        "      print(\"Tarfile already exists.\")\n",
        "      golos_path = os.path.join(data_dir, fname)\n",
        "  return golos_path\n",
        "\n",
        "train_path = load(\"https://sc.link/1Z3\", \"train.tar\")\n",
        "\n",
        "if not os.path.exists(os.path.join(data_dir, '/train/')):\n",
        "    tar = tarfile.open(train_path)\n",
        "    tar.extractall(path=data_dir)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IXXQz1Rx-rSE"
      },
      "source": [
        "!rm ./train.tar\n",
        "!rm ./test.tar\n",
        "!mv ./manifest.jsonl ./train/farfield/"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "URQYe_33HY5J"
      },
      "source": [
        "import os\n",
        "\n",
        "audio_names = []\n",
        "for root, dirs, files in os.walk(data_dir+\"/train/farfield/\"):\n",
        "  for filename in files:\n",
        "    audio_names.append(filename)\n",
        "\n",
        "correct_lines = []\n",
        "with open(data_dir+\"/train/farfield/manifest.jsonl\", \"r\") as file:\n",
        "  for line in file:\n",
        "    for audio_name in audio_names:\n",
        "      if line.find(audio_name) != -1:\n",
        "        correct_lines.append(line)\n",
        "\n",
        "with open(data_dir+\"/train/farfield/manifest.jsonl\", \"w\") as file:\n",
        "  for line in correct_lines:\n",
        "    print(line, file=file, end='')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SD4ej5S_mBqH"
      },
      "source": [
        "import os\n",
        "\n",
        "audio_names = []\n",
        "for root, dirs, files in os.walk(data_dir+\"/test/crowd/files/\"):\n",
        "  for filename in files:\n",
        "    audio_names.append(filename)\n",
        "\n",
        "correct_lines = []\n",
        "with open(data_dir+\"/test/crowd/train_manifest.jsonl\", \"r\") as file:\n",
        "  for line in file:\n",
        "    for audio_name in audio_names:\n",
        "      if line.find(audio_name) != -1:\n",
        "        line = line.replace(\"/content\", \"/content/drive/MyDrive\")\n",
        "        correct_lines.append(line)\n",
        "\n",
        "with open(data_dir+\"/test/crowd/manifest.jsonl\", \"w\") as file:\n",
        "  for line in correct_lines:\n",
        "    print(line, file=file, end='')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EKhJrYjQl2eA"
      },
      "source": [
        "import os\n",
        "\n",
        "audio_names = []\n",
        "for root, dirs, files in os.walk(data_dir+\"/test/farfield/files/\"):\n",
        "  for filename in files:\n",
        "    audio_names.append(filename)\n",
        "\n",
        "correct_lines = []\n",
        "with open(data_dir+\"/test/farfield/manifest.jsonl\", \"r\") as file:\n",
        "  for line in file:\n",
        "    for audio_name in audio_names:\n",
        "      if line.find(audio_name) != -1:\n",
        "        line = line.replace(\"/content\", \"/content/drive/MyDrive\")\n",
        "        correct_lines.append(line)\n",
        "\n",
        "with open(data_dir+\"/test/farfield/manifest.jsonl\", \"w\") as file:\n",
        "  for line in correct_lines:\n",
        "    print(line, file=file, end='')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m_LFeM0elRzm"
      },
      "source": [
        "Теперь в папке `/content` должна размещаться папка `test` с тестовыми данных датасета Golos. Она содержит файлы манифесты `./test/crowd/manifest.jsonl`, `./test/farfield/manifest.jsonl` и аудио файлы в подпапках `./test/crowd/files/` и `./test/farfield/files/`.\n",
        "\n",
        "Мы можем загрузить и посмотреть данные. Например файл `./test/crowd/files/e632f7d39c15e7edfc665b91e6f2071f.wav` это четырехсекундная запись мужчины, который произносит фразу `Купить моющее средство`. Чтобы убедиться в этом давайте послушаем запись:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_M_bSs3MjQlz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "outputId": "1c4ee07d-147b-49f0-f500-5f18f264349e"
      },
      "source": [
        "import librosa\n",
        "import IPython.display as ipd\n",
        "\n",
        "# Load and listen to the audio file\n",
        "example_file = data_dir + '/test/crowd/files/e632f7d39c15e7edfc665b91e6f2071f.wav'\n",
        "\n",
        "audio, sample_rate = librosa.load(example_file)\n",
        "\n",
        "ipd.Audio(example_file, rate=sample_rate)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",
              "                    <source 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\" type=\"audio/x-wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EZa68ncbd0KA",
        "outputId": "3a35da8f-24e3-4d7e-9066-c50a6635fd8e"
      },
      "source": [
        "!pip install torchtext==0.10.1\n",
        "!pip install matplotlib==3.1.3"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting torchtext==0.10.1\n",
            "  Downloading torchtext-0.10.1-cp37-cp37m-manylinux1_x86_64.whl (7.6 MB)\n",
            "\u001b[K     |████████████████████████████████| 7.6 MB 4.9 MB/s \n",
            "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from torchtext==0.10.1) (2.23.0)\n",
            "Requirement already satisfied: torch==1.9.1 in /usr/local/lib/python3.7/dist-packages (from torchtext==0.10.1) (1.9.1)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from torchtext==0.10.1) (4.62.3)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from torchtext==0.10.1) (1.19.5)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch==1.9.1->torchtext==0.10.1) (3.10.0.2)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->torchtext==0.10.1) (2021.10.8)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->torchtext==0.10.1) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->torchtext==0.10.1) (2.10)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->torchtext==0.10.1) (1.25.11)\n",
            "Installing collected packages: torchtext\n",
            "  Attempting uninstall: torchtext\n",
            "    Found existing installation: torchtext 0.11.0\n",
            "    Uninstalling torchtext-0.11.0:\n",
            "      Successfully uninstalled torchtext-0.11.0\n",
            "Successfully installed torchtext-0.10.1\n",
            "Requirement already satisfied: matplotlib==3.1.3 in /usr/local/lib/python3.7/dist-packages (3.1.3)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.1.3) (3.0.6)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.1.3) (1.3.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.1.3) (0.11.0)\n",
            "Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.1.3) (1.19.5)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib==3.1.3) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib==3.1.3) (1.15.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qZyElgPVjQl5"
      },
      "source": [
        "В задаче распознавания речи, если этот WAV файлявляется нашим входом в систему, то фраза `Купить моющее средство` будет желаемым выходом из системы.\n",
        "\n",
        "Давайте изобразим форму волны по точкам, которые содержатся в файлах. \n",
        "Этот формат отображения аудио, который скорее всего вам знаком, така как используется во многих аудио радакторах и плеерах:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MqIAKkqelRzm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 479
        },
        "outputId": "a375cebc-73d5-49f0-e33f-88530193c0e6"
      },
      "source": [
        "%matplotlib inline\n",
        "import librosa.display\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Plot our example audio file's waveform\n",
        "plt.rcParams['figure.figsize'] = (15,7)\n",
        "plt.title('Waveform of Audio Example')\n",
        "plt.ylabel('Amplitude')\n",
        "\n",
        "_ = librosa.display.waveplot(audio)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gg6RR_yolRzo"
      },
      "source": [
        "### Спектрограмма и мел-спектрограмма\n",
        "\n",
        "Давайте применим [Фурье преобразование](https://en.wikipedia.org/wiki/Fourier_transform) к аудио сигналу, чтобы получить что то более полезное: **спектрограмму**, которая представляет собой величину энергии (амплитуда или громкость) для каждой частоты (гармоники) сигнала на каждом промежутке времени.\n",
        "\n",
        "Спектрограмма (которую можно рассматривать как тепловую карту) является хорошим способом увидеть, как *амплитуды различных частот в звуке меняются с течением времени*. Спектрограмма получается путем разбиения сигнала на короткие фреймы, обычно перекрывающиеся и выполнения кратковременного преобразования Фурье (STFT) для каждого из фреймов.\n",
        "\n",
        "Двайте посмотрим как выглядит спекторграмма для нашего звука. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oCFneEs1lRzp",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "outputId": "cdeb1e11-19a7-420e-c9d3-54790b636d05"
      },
      "source": [
        "import numpy as np\n",
        "\n",
        "# Get spectrogram using Librosa's Short-Time Fourier Transform (stft)\n",
        "spec = np.abs(librosa.stft(audio))\n",
        "spec_db = librosa.amplitude_to_db(spec, ref=np.max)  # Decibels\n",
        "\n",
        "# Use log scale to view frequencies\n",
        "librosa.display.specshow(spec_db, y_axis='log', x_axis='time')\n",
        "plt.colorbar()\n",
        "plt.title('Audio Spectrogram');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9OPc4tcalRzs"
      },
      "source": [
        "Можем сделать еще одну потенциально полезную настройку: использовать **Mel** спектрограмму вместо обычной спектрограммы. Это просто изменение шкалы частот, которую мы используем, с линейной (или логарифмической) на шкалу mel, которая представляет собой \"шкалу восприятия тонов, которые слушатели оценивают как равные на расстоянии друг от друга\" (из [Wikipedia](https://en.wikipedia.org/wiki/Mel_scale)).\n",
        "\n",
        "Другими словами, это преобразование частот, чтобы быть более согласованным с тем, что воспринимают люди; изменение +1000 Гц с 2000 Гц->3000 Гц звучит для нас как большая разница, чем 9000 Гц->10000 Гц, поэтому шкала mel нормализует это так, что равные расстояния звучат как равные различия для человеческого уха. Интуитивно мы используем спектрограмму mel, потому что в этом случае мы обрабатываем и расшифровываем человеческую речь, так что преобразование шкалы для лучшего соответствия тому, что мы слышим, является полезной процедурой."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7yQXVn-TlRzt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "outputId": "ab4f5ffc-db52-4d9c-c5d4-7c81161c4771"
      },
      "source": [
        "# Plot the mel spectrogram of our sample\n",
        "mel_spec = librosa.feature.melspectrogram(audio, sr=sample_rate)\n",
        "mel_spec_db = librosa.power_to_db(mel_spec, ref=np.max)\n",
        "\n",
        "librosa.display.specshow(\n",
        "    mel_spec_db, x_axis='time', y_axis='mel')\n",
        "plt.colorbar()\n",
        "plt.title('Mel Spectrogram');"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RSCyVizDlRz1"
      },
      "source": [
        "## Сверточная модель распознавания речи\n",
        "### Jasper модель\n",
        "\n",
        "Мы будем тренировать небольшую модель [Jasper (Just Another SPeech Recognizer) model](https://arxiv.org/abs/1904.03288) с нуля (инициализируется случайным образом).\n",
        "Архитектуры Jasper состоят из повторяющейся блочной структуры, которая использует 1D-свертки.\n",
        "В модели Jasper_KxR подблоки `R` (состоящие из 1D свертки, batchnorm, ReLU и dropout) группируются в один блок, который затем повторяется `K` раз.\n",
        "Также есть один дополнительный блок в начале и еще несколько в конце, которые инвариантны к `K` и `R`, идалее используем CTC loss.\n",
        "\n",
        "### Модель QuartzNet\n",
        "\n",
        "QuartzNet является улучшенным вариантом Jasper с ключевым отличием в том, что она использует 1D-свертки, разделяемые по временному каналу. Это позволяет ему значительно сократить количество весов при сохранении аналогичной точности.\n",
        "\n",
        "Модели Jasper/QuartzNet выглядят так (на фото изображена модель QuartzNet):\n",
        "\n",
        "![QuartzNet with CTC](https://developer.nvidia.com/blog/wp-content/uploads/2020/05/quartznet-model-architecture-1-625x742.png)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gEpNci7slRzw"
      },
      "source": [
        "# Использование NeMo для распонавания речи\n",
        "\n",
        "Теперь мы знаем что такое задача автоматичского распознавания речи и речевые данные, давайте использовать NeMo для распознавания речи.\n",
        "\n",
        "Мы будем использовать **Neural Modules (NeMo) toolkit**, поэтому нужно скачать и установить все ее зависимости. Для этого следуйте инструкции в репозитории [GitHub page](https://github.com/NVIDIA/NeMo), или документации [documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/).\n",
        "\n",
        "NeMo позволяет нам легко использовать все необходимые компоненты для нашей модели: dataloader,  промежуточные сверточные или рекурентные слои, разные loss  функции без необходимости разбираться в деталях реализации разных моедлей. В NeMo содержатся готовые реализованные модели в которых достаточно подать свои данные и задать гиперпараметры для обучения."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4_W0lhaQlRzx",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3b9ac8e0-cdc2-4029-95ea-7171b77c6ac1"
      },
      "source": [
        "# NeMo's \"core\" package\n",
        "import nemo\n",
        "# NeMo's ASR collection - this collections contains complete ASR models and\n",
        "# building blocks (modules) for ASR\n",
        "import nemo.collections.asr as nemo_asr"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[NeMo W 2021-12-01 08:08:54 optimizers:50] Apex was not found. Using the lamb or fused_adam optimizer will error out.\n",
            "################################################################################\n",
            "### WARNING, path does not exist: KALDI_ROOT=/mnt/matylda5/iveselyk/Tools/kaldi-trunk\n",
            "###          (please add 'export KALDI_ROOT=<your_path>' in your $HOME/.profile)\n",
            "###          (or run as: KALDI_ROOT=<your_path> python <your_script>.py)\n",
            "################################################################################\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v_W8EbYktZE3"
      },
      "source": [
        "## Исползование предобученной модели\n",
        "\n",
        "\n",
        "Коллекция для распознавания речи в NeMo содержит готовые блоки, которые можно использовать чтобы тренировать и использовать свою модель. Кроме этого существет ряд предобученных моделей, которые можно просто скачать и исползовать. Давайте скачаем и инициализируем готовую модель QuartzNet15x5, обученную на открытом датасете Golos.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KFZZpYult96G",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9a3a40fd-0aa2-4ca6-df45-091e74808ce8"
      },
      "source": [
        "load(\"https://sc.link/ZMv\", \"QuartzNet15x5_golos.nemo\")\n",
        "\n",
        "asr_model = nemo_asr.models.EncDecCTCModel.restore_from(os.path.join(data_dir, \"QuartzNet15x5_golos.nemo\"))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset downloaded at: /content/QuartzNet15x5_golos.nemo\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[NeMo W 2021-12-01 08:09:11 modelPT:131] If you intend to do training or fine-tuning, please call the ModelPT.setup_training_data() method and provide a valid configuration file to setup the train data loader.\n",
            "    Train config : \n",
            "    manifest_filepath: train/golos_and_mcv.jsonl\n",
            "    sample_rate: 16000\n",
            "    labels:\n",
            "    - ' '\n",
            "    - а\n",
            "    - б\n",
            "    - в\n",
            "    - г\n",
            "    - д\n",
            "    - е\n",
            "    - ж\n",
            "    - з\n",
            "    - и\n",
            "    - й\n",
            "    - к\n",
            "    - л\n",
            "    - м\n",
            "    - н\n",
            "    - о\n",
            "    - п\n",
            "    - р\n",
            "    - с\n",
            "    - т\n",
            "    - у\n",
            "    - ф\n",
            "    - х\n",
            "    - ц\n",
            "    - ч\n",
            "    - ш\n",
            "    - щ\n",
            "    - ъ\n",
            "    - ы\n",
            "    - ь\n",
            "    - э\n",
            "    - ю\n",
            "    - я\n",
            "    batch_size: 64\n",
            "    trim_silence: false\n",
            "    max_duration: 20.0\n",
            "    min_duration: 0.1\n",
            "    num_workers: 20\n",
            "    shuffle: true\n",
            "    is_tarred: false\n",
            "    tarred_audio_filepaths: null\n",
            "    tarred_shard_strategy: scatter\n",
            "    parser: ru\n",
            "    \n",
            "[NeMo W 2021-12-01 08:09:11 modelPT:138] If you intend to do validation, please call the ModelPT.setup_validation_data() or ModelPT.setup_multiple_validation_data() method and provide a valid configuration file to setup the validation data loader(s). \n",
            "    Validation config : \n",
            "    manifest_filepath:\n",
            "    - test/mcv/dev_ru.jsonl\n",
            "    - test/mcv/test_ru.jsonl\n",
            "    - test/crowd/crowd.jsonl\n",
            "    - test/farfield/farfield.jsonl\n",
            "    sample_rate: 16000\n",
            "    labels:\n",
            "    - ' '\n",
            "    - а\n",
            "    - б\n",
            "    - в\n",
            "    - г\n",
            "    - д\n",
            "    - е\n",
            "    - ж\n",
            "    - з\n",
            "    - и\n",
            "    - й\n",
            "    - к\n",
            "    - л\n",
            "    - м\n",
            "    - н\n",
            "    - о\n",
            "    - п\n",
            "    - р\n",
            "    - с\n",
            "    - т\n",
            "    - у\n",
            "    - ф\n",
            "    - х\n",
            "    - ц\n",
            "    - ч\n",
            "    - ш\n",
            "    - щ\n",
            "    - ъ\n",
            "    - ы\n",
            "    - ь\n",
            "    - э\n",
            "    - ю\n",
            "    - я\n",
            "    batch_size: 64\n",
            "    num_workers: 20\n",
            "    shuffle: false\n",
            "    parser: ru\n",
            "    \n",
            "[NeMo W 2021-12-01 08:09:11 modelPT:144] Please call the ModelPT.setup_test_data() or ModelPT.setup_multiple_test_data() method and provide a valid configuration file to setup the test data loader(s).\n",
            "    Test config : \n",
            "    manifest_filepath: test/mcv/test_ru.jsonl\n",
            "    sample_rate: 16000\n",
            "    labels:\n",
            "    - ' '\n",
            "    - а\n",
            "    - б\n",
            "    - в\n",
            "    - г\n",
            "    - д\n",
            "    - е\n",
            "    - ж\n",
            "    - з\n",
            "    - и\n",
            "    - й\n",
            "    - к\n",
            "    - л\n",
            "    - м\n",
            "    - н\n",
            "    - о\n",
            "    - п\n",
            "    - р\n",
            "    - с\n",
            "    - т\n",
            "    - у\n",
            "    - ф\n",
            "    - х\n",
            "    - ц\n",
            "    - ч\n",
            "    - ш\n",
            "    - щ\n",
            "    - ъ\n",
            "    - ы\n",
            "    - ь\n",
            "    - э\n",
            "    - ю\n",
            "    - я\n",
            "    batch_size: 64\n",
            "    shuffle: false\n",
            "    parser: ru\n",
            "    \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[NeMo I 2021-12-01 08:09:11 features:265] PADDING: 16\n",
            "[NeMo I 2021-12-01 08:09:11 features:282] STFT using torch\n",
            "[NeMo I 2021-12-01 08:09:25 save_restore_connector:149] Model EncDecCTCModel was successfully restored from /content/QuartzNet15x5_golos.nemo.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KucxoFJhum0i"
      },
      "source": [
        "Теперь указваем список фалов которые мы хотим транскрибировать и передаем в нашу модель. Это будет работать для относительно коротких аудио (<25 секунд) файлов. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3QCpR_93u1hp",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 210,
          "referenced_widgets": [
            "6ac96840ef494d8ca3c43ddb04577219",
            "292f05f5c21c41aea4d2c73a162554c0",
            "f6f05f6043dd4b0db5453bab6567949e",
            "a8f7f34b3d184f3da8a7261cfebc750d",
            "d87632b13a56403090c5b9856d86031e",
            "9f5b5888cd124841a021ebcbd21f2445",
            "e78bd91b99c947ea937059abc64d4d4c",
            "8c31b302e3aa4e909038cd15dc061cab",
            "d882dbff819c4cbdbef000d612e484bb",
            "b96a6d1e42ca426383d4042ae8286471",
            "76f7551fe4d64251b48ef5dd1ada258f"
          ]
        },
        "outputId": "72689fdd-7d4c-4114-9bf8-d8f25dd41a4c"
      },
      "source": [
        "files = [data_dir + \"/test/crowd/files/e632f7d39c15e7edfc665b91e6f2071f.wav\",\n",
        "         data_dir + \"/test/crowd/files/5db5df8bb9e3b6660b2a04b34d4a355d.wav\"]\n",
        "transcriptions = asr_model.transcribe(paths2audio_files=files)\n",
        "for fname, transcription in zip(files, transcriptions):\n",
        "  print(f\"Audio in {fname} was recognized as: {transcription}\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "6ac96840ef494d8ca3c43ddb04577219",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Transcribing:   0%|          | 0/1 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[NeMo W 2021-11-17 15:02:57 patch_utils:50] torch.stft() signature has been updated for PyTorch 1.7+\n",
            "    Please update PyTorch to remain compatible with later versions of NeMo.\n",
            "[NeMo W 2021-11-17 15:02:57 nemo_logging:349] /usr/local/lib/python3.7/dist-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values.\n",
            "    To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at  ../aten/src/ATen/native/BinaryOps.cpp:467.)\n",
            "      return torch.floor_divide(self, other)\n",
            "    \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Audio in /content/test/crowd/files/e632f7d39c15e7edfc665b91e6f2071f.wav was recognized as: афина воспроизведи музыку вперемешку\n",
            "Audio in /content/test/crowd/files/5db5df8bb9e3b6660b2a04b34d4a355d.wav was recognized as: найти сериал григорий р\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ppUm_kuavm_f"
      },
      "source": [
        "Это было просто! Но существует масса сценариев, когда мы хотим дообучить модель на наших данных или обучить заново. Например это модель не сможет распознать украинский язык и скоре всего будет плохо распознавать речь в телефонных разговорах. Поэтому, если вы применяете модель на своих данных, то без сомнения, вам нужно дообучать модель на них!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ABUDaC5Js7AW"
      },
      "source": [
        "## Обучение с нуля\n",
        "\n",
        "\n",
        "Для обучения нужно подготовить данные в нужном формате. Для этого добавим абсолютные пути к относительным в наших манифестах и используем их для обучения."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C8Nu0qQRCn4r"
      },
      "source": [
        "train_manifest=\"/content/train/farfield/manifest.jsonl\"\n",
        "test_manifest=\"/content/test/farfield/manifest.jsonl\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W2fShQzRzo-M"
      },
      "source": [
        "### Задаем модель при помощи YAML конфиг файла\n",
        "\n",
        "Для обучения мы создадим модель *Jasper_4x1*, в которой будет `K=4` блоков, один (`R=1`) под-блок и декодер *greedy CTC*, используя конфиг файл в `./configs/config.yaml`.\n",
        "\n",
        "\n",
        "Ниже приведен конфиг файл, давайте рассмотрим его и найдем части описанной архитектуры Jasper. Модель (model) содержит поле под названием `encoder` с под-полем `jasper` который состоит из списка полей. Каждое поле в списке задает конфигурацию блока в нашей моделе. Каждый блок выглядит примерно так:\n",
        "\n",
        "```\n",
        "- filters: 128\n",
        "  repeat: 1\n",
        "  kernel: [11]\n",
        "  stride: [2]\n",
        "  dilation: [1]\n",
        "  dropout: 0.2\n",
        "  residual: false\n",
        "  separable: true\n",
        "  se: true\n",
        "  se_context_size: -1\n",
        "```\n",
        "\n",
        "\n",
        "Первый элемент в спике соответствует первому блоку в Jasper архитектуре.\n",
        "\n",
        "Параметры обучающего и тестового датасета в полях (`train_ds`) и (`validation_ds`)\n",
        "\n",
        "Конфиг в формате YAML позволяем легко и в читаемой форме читать и модифицировать модель без необходимости менять код пррограммы."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uWM2TIYyCw_E",
        "outputId": "bb515c59-d587-40f6-93a5-eb08a9af0770"
      },
      "source": [
        "! cat ./config.yaml"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "- filters: 128\r\n",
            "  repeat: 1\r\n",
            "  kernel: [11]\r\n",
            "  stride: [2]\r\n",
            "  dilation: [1]\r\n",
            "  dropout: 0.2\r\n",
            "  residual: false\r\n",
            "  separable: true\r\n",
            "  se: true\r\n",
            "  se_context_size: -1"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Fj2U4yhEC7u2",
        "outputId": "9acc149c-26c4-4aff-afde-9cea42b91835"
      },
      "source": [
        "# --- Config Information ---#\n",
        "try:\n",
        "    from ruamel.yaml import YAML\n",
        "except ModuleNotFoundError:\n",
        "    from ruamel_yaml import YAML\n",
        "config_path = './drive/MyDrive/config.yaml'\n",
        "\n",
        "yaml = YAML(typ='safe')\n",
        "with open(config_path) as f:\n",
        "    params = yaml.load(f)\n",
        "    \n",
        "print(params)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[{'filters': 128, 'repeat': 1, 'kernel': [11], 'stride': [2], 'dilation': [1], 'dropout': 0.2, 'residual': False, 'separable': True, 'se': True, 'se_context_size': -1}]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wUmq3p2Aw_5N"
      },
      "source": [
        "### Использование PyTorch Lightning\n",
        "\n",
        "NeMo модели и модули могуть исползоваться в любом PyTorch проекте где ожидается тип torch.nn.Module.\n",
        "\n",
        "Однако, NeMo модели созданы на основе [PytorchLightning's](https://github.com/PyTorchLightning/pytorch-lightning) LightningModule, поэтому рекомендуется использовать PytorchLightning для обучения и дообучения (fine-tuning) так как это позволяет легко применять mixed precision и распределенное обучение. Давайте создадим объект Trainer для обучения на GPU 5 эпох."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UofMWwj_ZA_Q",
        "outputId": "ae2d4d0f-85d4-4e41-b424-323237608e8a"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/drive1')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /drive1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oqVWHDILEe-r"
      },
      "source": [
        "params = asr_model._cfg\n",
        "params['train_ds']['parser']='base'\n",
        "params['validation_ds']['parser']='base'\n",
        "params['test_ds']['parser']='base'\n",
        "params_model['train_ds']['batch_size']=16\n",
        "params_model['validation_ds']['batch_size']=16\n",
        "params_model['test_ds']['batch_size']=16"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GUfR6tAK0k2u",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "32e41baf-ff7a-4b20-ac79-0057cc1e9713"
      },
      "source": [
        "import pytorch_lightning as pl\n",
        "trainer = pl.Trainer(gpus=1, max_epochs=1, precision=16, default_root_dir=\"/drive1/MyDrive/checkpoints\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Using 16bit native Automatic Mixed Precision (AMP)\n",
            "GPU available: True, used: True\n",
            "TPU available: False, using: 0 TPU cores\n",
            "IPU available: False, using: 0 IPUs\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bHoDoVWmapcW",
        "outputId": "f3fbb619-fe8e-4be1-e349-28fbdda35b12"
      },
      "source": [
        "from omegaconf import DictConfig\n",
        "import copy\n",
        "params['train_ds']['manifest_filepath'] = train_manifest\n",
        "params['validation_ds']['manifest_filepath'] = test_manifest\n",
        "params['test_ds']['manifest_filepath'] = test_manifest\n",
        "first_asr_model = asr_model\n",
        "opt = copy.deepcopy(params['optim'])\n",
        "opt['lr'] = 0.00055\n",
        "first_asr_model.setup_optimization(optim_config=DictConfig(opt))\n",
        "first_asr_model.setup_training_data(train_data_config=params['train_ds'])\n",
        "first_asr_model.setup_test_data(test_data_config=params['test_ds'])\n",
        "first_asr_model.setup_validation_data(val_data_config=params['validation_ds'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[NeMo W 2021-12-01 08:19:43 modelPT:453] Trainer wasn't specified in model constructor. Make sure that you really wanted it.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[NeMo I 2021-12-01 08:19:43 modelPT:561] Optimizer config = Novograd (\n",
            "    Parameter Group 0\n",
            "        amsgrad: False\n",
            "        betas: [0.9, 0.98]\n",
            "        eps: 1e-08\n",
            "        grad_averaging: False\n",
            "        lr: 0.0005\n",
            "        weight_decay: 0.001\n",
            "    )\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[NeMo W 2021-12-01 08:19:43 lr_scheduler:732] Neither `max_steps` nor `iters_per_batch` were provided to `optim.sched`, cannot compute effective `max_steps` !\n",
            "    Scheduler will not be instantiated !\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[NeMo I 2021-12-01 08:19:48 collections:173] Dataset loaded with 123995 files totalling 132.43 hours\n",
            "[NeMo I 2021-12-01 08:19:48 collections:174] 8 files were filtered totalling 0.03 hours\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[NeMo W 2021-12-01 08:19:48 nemo_logging:349] /usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py:481: UserWarning: This DataLoader will create 20 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "      cpuset_checked))\n",
            "    \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[NeMo I 2021-12-01 08:19:48 collections:173] Dataset loaded with 1916 files totalling 1.41 hours\n",
            "[NeMo I 2021-12-01 08:19:48 collections:174] 0 files were filtered totalling 0.00 hours\n",
            "[NeMo I 2021-12-01 08:19:48 collections:173] Dataset loaded with 1916 files totalling 1.41 hours\n",
            "[NeMo I 2021-12-01 08:19:48 collections:174] 0 files were filtered totalling 0.00 hours\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6FiCfLX0D7py"
      },
      "source": [
        "Below is an example of a simple inference loop in pure PyTorch. It also shows how one can compute Word Error Rate (WER) metric between predictions and references."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7mP4r1Gx_Ilt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3f48c996-bd39-421b-cf07-5a47bb0e2c03"
      },
      "source": [
        "first_asr_model.cuda()\n",
        "\n",
        "wer_nums = []\n",
        "wer_denoms = []\n",
        "\n",
        "for test_batch in first_asr_model.test_dataloader():\n",
        "        test_batch = [x.cuda() for x in test_batch]\n",
        "        targets = test_batch[2]\n",
        "        targets_lengths = test_batch[3]        \n",
        "        log_probs, encoded_len, greedy_predictions = first_asr_model(\n",
        "            input_signal=test_batch[0], input_signal_length=test_batch[1]\n",
        "        )\n",
        "\n",
        "        first_asr_model._wer.update(greedy_predictions, targets, targets_lengths)\n",
        "        _, wer_num, wer_denom = first_asr_model._wer.compute()\n",
        "        first_asr_model._wer.reset()\n",
        "        wer_nums.append(wer_num.detach().cpu().numpy())\n",
        "        wer_denoms.append(wer_denom.detach().cpu().numpy())\n",
        "\n",
        "        del test_batch, log_probs, targets, targets_lengths, encoded_len, greedy_predictions\n",
        "\n",
        "print(f\"WER = {sum(wer_nums)/sum(wer_denoms)}\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[NeMo W 2021-12-01 08:18:52 patch_utils:50] torch.stft() signature has been updated for PyTorch 1.7+\n",
            "    Please update PyTorch to remain compatible with later versions of NeMo.\n",
            "[NeMo W 2021-12-01 08:18:52 nemo_logging:349] /usr/local/lib/python3.7/dist-packages/nemo/collections/asr/parts/submodules/jasper.py:280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
            "      ) // self.conv.stride[0] + 1\n",
            "    \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WER = 0.6676210928179432\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 674,
          "referenced_widgets": [
            "86c176f0833d4a2f9c62b5b3d093bacb",
            "66cc92d77c0241dfac7684d75b396f59",
            "b6368e4d01264ff4a3ab197dd4237e32",
            "11b9c1734681487b81292737db233ff4",
            "b0048507b52642c88b86f86030b9d97b",
            "155e6bcf390847b7b11aaf8e98431545",
            "c28ea876ba9b430b869d2f45b5971c54",
            "4821f6edc8a3403e892909635146b7b1",
            "3215e00af7f840aa8e1b6236ffb9c023",
            "0c81d58363a440aca434219872dc1100",
            "b8bb133c6436438388a7033eecb07370",
            "c26c041ef5a7483cb39b3cdc3b4f539c",
            "a509761ca25048c3a0e37890cf371c06",
            "cb5e93437dbc4970b4f39aa777ebfa3c",
            "510cfbccf74d42c38b4d1f92fe4f0bbc",
            "ff3308ba3fba4f5786f36813aabf1dea",
            "8d3b739b6a7f4a0289c32d51d6eb88ac",
            "6ba77363353d45a7834733b983dbb0c7",
            "97b7a94ce31342a2826a282b2d673d4f",
            "f0ed0aa472ed43a2bb4d0c2bca040d00",
            "626b8fedaa864ef4ac6847729afd00a7",
            "17c402d92c1c43d7aa2decebe628be24",
            "06fb6ac3645e49c1bdd17a44864fe021",
            "16f2bc212d0c47839946e22a6913dedf",
            "878a8c142d5e4750b369ff6d85311676",
            "efdad2204128474186847fb563c384b4",
            "8b0da609156f4ae8b05afd6283eb5f98",
            "c8d9c20b07e54e17b0f02ef8683a0057",
            "16079bc1f11d45ce9e382f1e711ccb96",
            "f367e582333b49a69e9db5234057edb0",
            "2c249feb67df4b9796853915859ca514",
            "f0e2bf77a39d4525952a752cc1654289",
            "d60bf948eec34a52a796dbbae647a0d7"
          ]
        },
        "id": "xAZCYND-fGMy",
        "outputId": "3d170885-bf1e-402b-d375-fa52deba5508"
      },
      "source": [
        "trainer.fit(first_asr_model)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n",
            "[NeMo W 2021-12-01 08:19:54 modelPT:453] Trainer wasn't specified in model constructor. Make sure that you really wanted it.\n"
          ]
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[NeMo I 2021-12-01 08:19:54 modelPT:561] Optimizer config = Novograd (\n",
            "    Parameter Group 0\n",
            "        amsgrad: False\n",
            "        betas: [0.9, 0.98]\n",
            "        eps: 1e-08\n",
            "        grad_averaging: False\n",
            "        lr: 0.0005\n",
            "        weight_decay: 0.001\n",
            "    )\n"
          ]
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "[NeMo W 2021-12-01 08:19:54 lr_scheduler:732] Neither `max_steps` nor `iters_per_batch` were provided to `optim.sched`, cannot compute effective `max_steps` !\n",
            "    Scheduler will not be instantiated !\n",
            "\n",
            "  | Name              | Type                              | Params\n",
            "------------------------------------------------------------------------\n",
            "0 | preprocessor      | AudioToMelSpectrogramPreprocessor | 0     \n",
            "1 | encoder           | ConvASREncoder                    | 18.9 M\n",
            "2 | decoder           | ConvASRDecoder                    | 34.9 K\n",
            "3 | loss              | CTCLoss                           | 0     \n",
            "4 | spec_augmentation | SpectrogramAugmentation           | 0     \n",
            "5 | _wer              | WER                               | 0     \n",
            "------------------------------------------------------------------------\n",
            "18.9 M    Trainable params\n",
            "0         Non-trainable params\n",
            "18.9 M    Total params\n",
            "37.859    Total estimated model params size (MB)\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "86c176f0833d4a2f9c62b5b3d093bacb",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Validation sanity check: 0it [00:00, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "[NeMo W 2021-12-01 08:19:56 nemo_logging:349] /usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py:481: UserWarning: This DataLoader will create 20 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n",
            "      cpuset_checked))\n",
            "    \n",
            "[NeMo W 2021-12-01 08:19:58 nemo_logging:349] /usr/local/lib/python3.7/dist-packages/nemo/collections/asr/parts/submodules/jasper.py:280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
            "      ) // self.conv.stride[0] + 1\n",
            "    \n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "c26c041ef5a7483cb39b3cdc3b4f539c",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Training: 0it [00:00, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "06fb6ac3645e49c1bdd17a44864fe021",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Validating: 0it [00:00, ?it/s]"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vbB32KwVfc75"
      },
      "source": [
        "first_asr_model.save_to('/content/drive1/MyDrive/model1.nemo')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bhuINY0_fiyS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "75fc1d8a-26da-4956-ce42-a6e9ae55d2ea"
      },
      "source": [
        "first_asr_model.cuda()\n",
        "\n",
        "wer_nums = []\n",
        "wer_denoms = []\n",
        "\n",
        "for test_batch in first_asr_model.test_dataloader():\n",
        "        test_batch = [x.cuda() for x in test_batch]\n",
        "        targets = test_batch[2]\n",
        "        targets_lengths = test_batch[3]        \n",
        "        log_probs, encoded_len, greedy_predictions = first_asr_model(\n",
        "            input_signal=test_batch[0], input_signal_length=test_batch[1]\n",
        "        )\n",
        "        \n",
        "        first_asr_model._wer.update(greedy_predictions, targets, targets_lengths)\n",
        "        _, wer_num, wer_denom = first_asr_model._wer.compute()\n",
        "        first_asr_model._wer.reset()\n",
        "        wer_nums.append(wer_num.detach().cpu().numpy())\n",
        "        wer_denoms.append(wer_denom.detach().cpu().numpy())\n",
        "\n",
        "        del test_batch, log_probs, targets, targets_lengths, encoded_len, greedy_predictions"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[NeMo W 2021-12-01 12:19:24 nemo_logging:349] /usr/local/lib/python3.7/dist-packages/nemo/collections/asr/parts/submodules/jasper.py:280: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').\n",
            "      ) // self.conv.stride[0] + 1\n",
            "    \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jEoHOetHaHl2",
        "outputId": "8a8839be-2c0a-46c9-fcbc-b827b0c93c70"
      },
      "source": [
        "# We need to sum all numerators and denominators first. Then divide.\n",
        "print(f\"WER = {sum(wer_nums)/sum(wer_denoms)}\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WER = 0.556907659269864\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0kM9kBNOCptf"
      },
      "source": [
        "This WER is not particularly impressive and could be significantly improved. You could train longer (try 100 epochs) to get a better number. Check out the next section on how to improve it further."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "smzlvbhelR0U"
      },
      "source": [
        "# Further Reading/Watching:\n",
        "\n",
        "That's all for now! If you'd like to learn more about the topics covered in this tutorial, here are some resources that may interest you:\n",
        "- [Stanford Lecture on ASR](https://www.youtube.com/watch?v=3MjIkWxXigM)\n",
        "- [\"An Intuitive Explanation of Connectionist Temporal Classification\"](https://towardsdatascience.com/intuitively-understanding-connectionist-temporal-classification-3797e43a86c)\n",
        "- [Explanation of CTC with Prefix Beam Search](https://medium.com/corti-ai/ctc-networks-and-language-models-prefix-beam-search-explained-c11d1ee23306)\n",
        "- [Listen Attend and Spell Paper (seq2seq ASR model)](https://arxiv.org/abs/1508.01211)\n",
        "- [Explanation of the mel spectrogram in more depth](https://towardsdatascience.com/getting-to-know-the-mel-spectrogram-31bca3e2d9d0)\n",
        "- [Jasper Paper](https://arxiv.org/abs/1904.03288)\n",
        "- [QuartzNet paper](https://arxiv.org/abs/1910.10261)\n",
        "- [SpecAugment Paper](https://arxiv.org/abs/1904.08779)\n",
        "- [Explanation and visualization of SpecAugment](https://towardsdatascience.com/state-of-the-art-audio-data-augmentation-with-google-brains-specaugment-and-pytorch-d3d1a3ce291e)\n",
        "- [Cutout Paper](https://arxiv.org/pdf/1708.04552.pdf)\n",
        "- [Transfer Learning Blogpost](https://developer.nvidia.com/blog/jump-start-training-for-speech-recognition-models-with-nemo/)"
      ]
    }
  ]
}