Statistics for topic speech-emotion-recognition
RepositoryStats tracks 584,797 Github repositories, of these 31 are tagged with the speech-emotion-recognition topic. The most common primary language for repositories using this topic is Python (16).
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[ACL 2024] 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
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
[ACL 2024] 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
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
[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 implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
[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 implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
A collection of datasets for the purpose of emotion recognition/detection in speech.
[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 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
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch
An implementation of Speech Emotion Recognition, based on HuBERT model, training with PyTorch and HuggingFace framework, and fine-tuning on the RAVDESS dataset.
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
[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 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)
😎 Awesome lists about Speech Emotion Recognition
An implementation of Speech Emotion Recognition, based on HuBERT model, training with PyTorch and HuggingFace framework, and fine-tuning on the RAVDESS dataset.
[ICASSP 2023] Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch
Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython