Multilingual Voice Understanding Model

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

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

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

How to use our public wav2vec2 dimensional emotion model

Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)

A collection of datasets for the purpose of emotion recognition/detection in speech.

speech emotion recognition using a convolutional recurrent networks based on IEMOCAP

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 and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Speaker independent emotion recognition

[INTERSPEECH 2024] EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark

TensorFlow implementation of "Multimodal Speech Emotion Recognition using Audio and Text," IEEE SLT-18

Wav2Vec for speech recognition, classification, and audio classification

Bidirectional LSTM network for speech emotion recognition.

基于Pytorch实现的语音情感识别

This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

[ICASSP 2023] Official Tensorflow implementation of "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".

Identify the emotion of multiple speakers in an Audio Segment

Code for Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information

Official implementation for the paper Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition

Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.

Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

A machine learning application for emotion recognition from speech

Detecting emotions using MFCC features of human speech using Deep Learning

The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion Recognition

Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).

Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM