Multilingual Voice Understanding Model
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Updated
Jul 17, 2024 - Python
Multilingual Voice Understanding Model
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
speech emotion recognition using a convolutional recurrent networks based on IEMOCAP
Speaker independent emotion recognition
Bidirectional LSTM network for speech emotion recognition.
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition
Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From INTERSPEECH 2019
这个项目将 RAVDESS 数据集切割成 1s 短语音,利用 openSMILE+CNN 进行训练,目标是将短语音分类到四种情感中,分别是:开心(happy)、悲伤(sad)、生气(angry)和中性(neutral)。最后准确率达到 76% 左右。
Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in the ASRU 2021 conference.
Speech Emotion Recognition
[ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs
[ICASSP 2023] Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
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