Statistics for topic speech-emotion-recognition
RepositoryStats tracks 518,325 Github repositories, of these 28 are tagged with the speech-emotion-recognition topic. The most common primary language for repositories using this topic is Python (14).
Stargazers over time for topic speech-emotion-recognition
Most starred repositories for topic speech-emotion-recognition (view more)
Trending repositories for topic speech-emotion-recognition (view more)
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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。
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
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。
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
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。
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
[ICASSP 2023] Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
😎 Awesome lists about Speech Emotion Recognition
Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
