Statistics for topic speech-emotion-recognition
RepositoryStats tracks 642,282 Github repositories, of these 35 are tagged with the speech-emotion-recognition topic. The most common primary language for repositories using this topic is Python (18). Other languages include: Jupyter Notebook (12)
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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
[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
A collection of datasets for the purpose of emotion recognition/detection in speech.
[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)
[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
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) | è¯éŸ³æƒ…感识别
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
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
[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)
Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython
[ICASSP 2023] Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.
[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) | è¯éŸ³æƒ…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)
Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Multi-modal Human Emotion Recognition of speech clips (audio + video) contained in RAVDESS dataset using a two stream architecture
😎 Awesome lists about Speech Emotion Recognition
Transformer-based model for Speech Emotion Recognition(SER) - implemented by Pytorch