Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.

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

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.

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".

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

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'