A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
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Updated
Jul 5, 2024 - Python
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Code for YouTube series: Deep Learning for Audio Classification
Urban sound classification using Deep Learning
Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".
The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"
🚤 Label data at scale. Fun and precision included.
Code and Pretrained Models for Interspeech 2023 Paper "Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong Audio Event Taggers"
Efficient Training of Audio Transformers with Patchout
A multi-channel neural network audio classifier using Keras
Identify sounds in short audio clips
🎶 dead simple audio classification
Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".
Audio classification with VGGish as feature extractor in TensorFlow
8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)
CNN 1D vs 2D audio classification
DCASE2020 Challenge Task 2 baseline system
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