In simple English
This project gives you powerful tools to turn long recordings into text or generate natural speech from text. It handles hours of audio at once instead of breaking files into tiny confusing pieces. You can run the speech recognition models on your own server or test them online. Setting it up requires a good graphics card and some technical skill with Python.
What it is
VibeVoice is a collection of open-source models for speech-to-text and text-to-speech tasks built by Microsoft. It uses a low frame rate approach to process long audio sequences efficiently while keeping high fidelity.
What it is good for
This is useful for developers who need to transcribe long interviews or podcasts with multiple speakers and precise timestamps. It also helps build real-time voice assistants that respond quickly.
- Processes up to sixty minutes of audio in a single pass for better context.
- Recognizes multiple speakers and adds precise timestamps automatically.
- Includes CPU-friendly compressed versions for running on standard hardware.
- Demands a powerful graphics card with plenty of memory for the large models.
- Requires comfort with Python virtual environments and command-line tools.
- Some original text-to-speech code was removed due to safety and misuse concerns.
commercial transcription APIs
vLLM
- openai/whisper111k stars
OpenAI Whisper is a widely used alternative for speech recognition and transcription.
- ggml-org/whisper.cpp55k stars
Whisper.cpp runs speech recognition efficiently on standard central processing units.
- snapcast/snapcast8.0k stars
A server and clients that play one audio stream in several rooms, kept in time with each other.
- MusicPlayerDaemon/MPD2.8k stars
A background music player with no interface of its own, controlled over a network by separate client programs.
- AcademySoftwareFoundation/OpenTimelineIO2.0k stars
An interchange format and library for editing timelines: the order and length of cuts, and references to the media, but not the media.
git clone https://github.com/microsoft/VibeVoice.git cd VibeVoice python -m venv venv source venv/bin/activate pip install -r requirements.txt