# microsoft/VibeVoice > Microsoft's family of open-source voice AI models: ASR for speech recognition (up to 60 minutes of audio in a single pass with diarization and timestamps) and TTS for long multi-speaker dialogue synthesis. Streaming and edge variants included. - Magnitude: 2.2 out of 10 — Steady - Stars: 54,607 total · +6 stars today, ≈ 15 by evening - Star trust: star growth looks organic - Category: Generative media · Language: Python · License: MIT · Created: 2025-08-25 · Last push: 2026-09-03 - GitHub: https://github.com/microsoft/VibeVoice · Homepage: https://microsoft.github.io/VibeVoice/ · Page: https://gitnova.dev/en/r/microsoft/VibeVoice ## Useful for - Transcribe a one-hour meeting recording with speaker labels and timestamps - Set up streaming speech recognition with custom hotwords for domain terms - Generate a multi-speaker podcast or dialogue up to 90 minutes long ## Why it’s here - 6 stars so far today, about 15 expected by the end of the day. - Over the last two days the pace is 1.6× that of the previous week and a half. - GitHub Trending Python today: #13, +36 stars. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 6,147 - Issues and pull requests: 430 - Watchers: 269 - Average over the last week: 21 per day - Usual pace: 33 per day - Stars in the last hour (measured): 0 ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-03 … 2026-10-02: 65, 34, 42, 114, 93, 106, 101, 53, 32, 28, 39, 21, 44, 31, 34, 20, 19, 23, 16, 15, 16, 17, 12, 14, 16, 13, 19, 30, 38, 6 ## Spotted in now - GitHub Trending Python today: #13, +36 stars ## Similar by description 1. **OpenWhispr/openwhispr** — 2.5 · Steady · Productivity & self-hosted · JavaScript · +17 stars today, ≈ 30 by evening Cross-platform desktop voice-to-text dictation app that transcribes speech locally (Whisper, NVIDIA Parakeet) or in the cloud and pastes text into any app. It also transcribes meetings, manages notes, and connects to AI assistants. Full card: https://gitnova.dev/en/r/OpenWhispr/openwhispr.md 2. **jankeesvw/omarchy-meeting-recorder** — 1.4 · Cooling · Productivity & self-hosted · Rust · +2 stars today, ≈ 3 by evening Records meetings on Omarchy: mic and system audio as separate tracks, transcribed locally with whisper.cpp, with speaker labels, chapters and a player. Full card: https://gitnova.dev/en/r/jankeesvw/omarchy-meeting-recorder.md 3. **k2-fsa/sherpa-onnx** — 1.5 · Steady · Language models · C++ · +4 stars today, ≈ 7 by evening A collection of offline speech processing tools built on next-gen Kaldi and onnxruntime: speech recognition and synthesis, speaker diarization and identification, VAD, speech enhancement, source separation, and keyword spotting. Runs on… Full card: https://gitnova.dev/en/r/k2-fsa/sherpa-onnx.md 4. **nobodywho-ooo/nobodywho** — 1.3 · Cooling · Language models · Rust · +0 stars today, ≈ 1 by evening A Rust inference engine for running LLMs locally with bindings for Python, Kotlin, Swift, Flutter, React Native and Godot, plus speech-to-text and text-to-speech. It runs GGUF chat models offline on desktop and mobile devices. Full card: https://gitnova.dev/en/r/nobodywho-ooo/nobodywho.md 5. **Zackriya-Solutions/meetily** — 2.5 · Steady · AI agents · Rust · +18 stars today, ≈ 34 by evening A local AI meeting assistant that records and transcribes audio in real time using Whisper/Parakeet and generates summaries via Ollama or other LLMs, without sending data to the cloud. Full card: https://gitnova.dev/en/r/Zackriya-Solutions/meetily.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-02 14:11 UTC, updated every 30 minutes.