面向 Apple Silicon 的设备端语音 AI
pyannote 开源项目推荐(289 个)
pyannote 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 289 个仓库用于自动音频转录的尖端人工智能技术。用于OpenAI Whisper和pyannote(说话者识别)的良好图形用户界面
该项目在 GitHub 上没有填写描述
Open source inference code for Rev's model
Very fast, accurate speaker diarization
🎬 Ultimate AI Auto-Clipper — Transform long-form videos & podcasts into viral shorts! Features smart face-tracking, kinetic karaoke subtitles, contextual B-roll, AI voice-overs, and auto-uploaders (YouTube/FB). Powered by Whisper, Gemini, MediaPipe, & Pyannote.
Speaker diarization in Rust with pyannote-level accuracy. 1790–5970x realtime on NVIDIA GPUs, 430–910x on Apple Silicon.
On-device VAD / streaming STT / TTS / diarization in C++17 (ONNX + LiteRT) with a voice-agent pipeline. Linux, Windows, Android.
Official repository for the "Powerset multi-class cross entropy loss for neural speaker diarization" paper published in Interspeech 2023.
Provide Gradio custom components to make the diarization-based audio labeling process easier and faster.
Record and transcribe Teams, Zoom, and Google Meet calls locally with AI-powered speaker identification. Open-source alternative to Evaer, Otter.ai, and Fireflies. Offline speech-to-text using Whisper — no cloud, no subscriptions.
EchoInStone is an audio processing tool that transcribes, diarizes, and aligns speaker segments from audio files, prioritizing accuracy and reliability.
Speaker identification powered by pyannote and resemblyzer
Official repository for Mamba-based Segmentation Model for Speaker Diarization
Self-hosted meeting transcription portal — speech-to-text, speaker diarization, LLM-corrected transcripts, structured summaries and Word minutes, on your own GPUs. Flask + PostgreSQL, GDPR audit trail, distributed GPU topologies, docker
Ultra-fast, customizable speech-to-text and speaker diarization for noisy, multi-speaker audio. Includes advanced noise reduction, stereo channel support, and flexible audio preprocessing—ideal for call centers, meetings, and podcasts.
GPU-accelerated WhisperX on NVIDIA Blackwell (SM_121) - DGX Spark compatible
Real-time speaker diarization using straightforward, intuitive logic - High accuracy thanks to SpeechBrain/Pyannote-WeSpeaker models
Local, identity-aware speech transcription and diarization engine — turns multi-speaker audio into structured, named intelligence, 100% offline.
speech to text gui for different (e.g. Whisper, Voxtral) models and backends, including whisper.cpp, crispasar, mlx-whisper, faster-whisper, ctranslate2; applies pyannote for diarization
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/pyannote。
- 该话题在 GitHub 上共有 289 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.1 万 Star,覆盖 6 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。