| name | microsoft--vibevoice |
| description | Microsoft VibeVoice — open-source Voice AI: ASR 7B (60-min audio 1 pass, 50+ ngôn ngữ), TTS 1.5B (90-min, 4 speakers), Realtime 0.5B (300ms latency). HuggingFace. |
| allowed-tools | Bash, Read, Write |
| user-invocable | true |
VibeVoice: bộ 3 model voice AI open-source của Microsoft Research — ASR dài hạn, TTS đa người nói, Realtime streaming.
3 Models
VibeVoice-ASR (7B)
- 60-minute long-form audio trong 1 pass
- Speaker identification + timestamps
- 50+ languages + custom hotwords
VibeVoice-TTS (1.5B)
- 90-minute speech synthesis
- Tối đa 4 distinct speakers
- English, Chinese, multilingual
VibeVoice-Realtime (0.5B)
- Streaming với ~300ms latency
- Robust lên đến 10 phút
- Lightweight deployment
Architecture
Continuous Speech Tokenizers
Acoustic tokenizer — audio quality preservation
Semantic tokenizer — contextual understanding
Frame rate: 7.5 Hz — ultra-low, efficient cho long sequences
Generation:
LLM — understand text context + dialogue flow
Diffusion head — generate high-fidelity acoustic details
Access
from transformers import pipeline
asr = pipeline("automatic-speech-recognition",
model="microsoft/VibeVoice-ASR-7B")
result = asr("long_audio.wav")
tts = pipeline("text-to-speech",
model="microsoft/VibeVoice-TTS-1.5B")
audio = tts("Hello, this is VibeVoice.")
Playgrounds
- ASR: aka.ms/vibevoice-asr
- Colab notebooks: HuggingFace model pages
- Interactive demo: HuggingFace Spaces
Khi nào dùng
- Transcribe meeting/podcast dài (>30 min) với speaker diarization
- TTS multi-speaker cho audiobook, dialog synthesis
- Real-time voice interface với latency thấp
- Alternative cho Whisper khi cần long-form hoặc multi-speaker
Source
https://github.com/microsoft/VibeVoice · MIT · +216⭐ today