speaker-diarization

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

A PyTorch-based Speech Toolkit

Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.

Download video and audio from 1000+ sites, transcribe locally with speaker labels, and summarize, translate, or chat with your media using your preferred AI provider.

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

End-to-End Speech Processing Toolkit

On-device Speech AI for Apple Silicon

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

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

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 0.9B model for long-form transcription in 50+ languages with speaker diarization, timestamps, and acoustic event awareness

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

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

Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.

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

AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML

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