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.

End-to-End Speech Processing Toolkit

On-device Speech AI for Apple Silicon

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.

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

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.

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

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

Open-source LLM-based ASR model family for Chinese, dialect, accent, and multilingual speech, with FunASR, vLLM, streaming, and llama.cpp runtimes.

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

一站式全自动字幕生成软件，下载、转录、翻译、压制全流程覆盖，无需人工介入 / One-stop automated subtitle generator. Handles downloading, transcription, translation, and hardcoding—zero human intervention required.

Open source inference code for Rev's model

very fast speech-to-text, diarization, streaming (even in CPU) with NVIDIA Parakeet in Rust

Voice AI runtime. Local first transcription, speaker diarization, TTS, and voice cloning with an OpenAI compatible API.

audio.cpp with a full-task WebUI - pure C++ audio-model inference engine powered by ggml. TTS, ASR/STT, VAD, voice conversion, speaker diarization, music generation. No Python dependency.

Ultra fast and portable Parakeet implementation for on-device inference in C++ using Axiom with MPS+Unified Memory

Open-source AI meeting notes for Mac. Records mic + system audio with no bot, transcribes on-device or via OpenAI / Deepgram / Groq, identifies speakers offline, and writes summaries that fuse your notes with the transcript. Ask your notes and get cited answers. Tauri 2 + Rust + Swift.