A PyTorch-based Speech Toolkit

End-to-End Speech Processing Toolkit

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

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

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

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

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

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

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

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

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

End-to-End Neural Diarization

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

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