Statistics for topic speech-emotion-recognition
RepositoryStats tracks 595,858 Github repositories, of these 33 are tagged with the speech-emotion-recognition topic. The most common primary language for repositories using this topic is Python (17). Other languages include: Jupyter Notebook (11)
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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
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
[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
😎 Awesome lists about Speech Emotion Recognition
😎 Awesome lists about Speech Emotion Recognition
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
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。
[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 collection of datasets for the purpose of emotion recognition/detection in speech.
😎 Awesome lists about Speech Emotion Recognition
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
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.
[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)
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
😎 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