Popular GitHub Repositories for Speaker Diarization

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

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.

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.

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

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

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

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

Time delay neural network (TDNN) implementation in Pytorch using unfold method

Simplified diarization pipeline using some pretrained models - audio file to diarized segments in a few lines of code

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

PyTorch implementation of Densely Connected Time Delay Neural Network

A tool for summarizing dialogues from videos or audio

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

speaker diarization system using an LSTM

语音算法相关资源汇总 Resource for Speech Processing || NEWS: official link of VoxCeleb fails recently and an external link is added for download

Neural network based similarity scoring for diarization (pytorch implementation of "LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization")

The project is associated with the recently-launched INTERSPEECH 2025 Workshop on Multilingual Conversational Speech Language Model (MLC-SLM) to provide participants with baseline systems for speech recognition and speaker diarization in multilingual conversational scenario.