A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

A PyTorch-based Speech Toolkit

End-to-End Speech Processing Toolkit

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

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

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

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

turnkey self-hosted offline transcription and diarization service with llm summary

Fun-ASR is an end-to-end speech recognition large model launched by Tongyi Lab.

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition

This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.

Open source inference code for Rev's model

End-to-End Neural Diarization

Aims to create a comprehensive voice toolkit for training, testing, and deploying speaker verification systems.

Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196

speechlib is a library that can do speaker diarization, transcription and speaker recognition on an audio file to create transcripts with actual speaker names.

Very fast, accurate speaker diarization