Trending repositories for topic 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
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
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
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)
A collection of datasets for the purpose of emotion recognition/detection in speech.
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
[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.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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
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
A collection of datasets for the purpose of emotion recognition/detection in speech.
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
😎 Awesome lists about Speech Emotion Recognition
Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.
TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18
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.
Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition
Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'
[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
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
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.
Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.
The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition
Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'
TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18
💎 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
[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)
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
A collection of datasets for the purpose of emotion recognition/detection in speech.
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information
Wav2Vec for speech recognition, classification, and audio classification
[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".
😎 Awesome lists about Speech Emotion Recognition
TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18
This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.
Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython
Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'
[ICASSP 2023] Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN a...
An implementation of Speech Emotion Recognition, based on HuBERT model, training with PyTorch and HuggingFace framework, and fine-tuning on the RAVDESS dataset.
😎 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
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.
[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
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。
Wav2Vec for speech recognition, classification, and audio classification
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.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'
This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
