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

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

基于Pytorch实现的语音情感识别

This code package implements tools to finetune and evaluate end-to-end neural speaker diarization models.

CHIME-7 diarization champion system: neural speaker diarization using memory-aware multi-speaker embedding with sequence-to-sequence architecture

The project tries to solve a speaker diarization problem using audio features, face recognition and video feature extraction from face image, mouth tracking.

Multimodal speaker diarization using pre-trained audio-visual synchronization model

A python package to build AI-powered real-time audio applications

Diarization scoring tools.

The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification

A pytorch implementation of the paper "ANSD-MA-MSE: Adaptive Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding"

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

PyTorch implementation of Densely Connected Time Delay Neural Network

基于Flask+VUE前后端，在阿里云公网WEB端部署YOLOv5目标检测模型

The official Pytorch implementation of "Frame-wise streaming end-to-end speaker diarization with non-autoregressive self-attention-based attractors". [ICASSP 2024]

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization

This repository contains a set of codes to run (i.e., train, perform inference with, evaluate) a diarization method called EEND-vector-clustering.

Speaker diarization based on Kaldi x-vectors, tuned for 16k microphone data

Self-supervised Speaker Diarization Interspeech 2022 Implementation

Variational Bayes HMM over x-vectors diarization

🎙️ Enhanced Speaker Diarisation 📒 with OSD, SS, and Advanced VAD🗣️.

A PyTorch implementation of End-to-End Neural Diarization