WhisperSpeech
| Property | Value |
|---|---|
| License | MIT |
| Type | Text-to-Speech |
| Architecture | Whisper + EnCodec + Vocos |
What is WhisperSpeech?
WhisperSpeech is an innovative open-source text-to-speech system that aims to be the Stable Diffusion equivalent for speech synthesis. Built by inverting Whisper, it combines powerful models like OpenAI's Whisper for semantic tokens, Meta's EnCodec for acoustic modeling, and Vocos as a high-quality vocoder. The system currently supports multiple languages including English, Polish, and French, with capabilities for voice cloning and mixed-language synthesis.
Implementation Details
The model architecture leverages three main components: Whisper's encoder block for generating embeddings and semantic tokens, EnCodec for modeling audio waveforms at 1.5kbps, and Vocos for high-quality vocoding. Recent optimizations include torch.compile integration and kv-caching, achieving over 12x faster than real-time performance on a consumer 4090 GPU.
- Multilingual support with seamless language mixing
- Voice cloning capabilities from reference audio
- High-quality speech synthesis at 1.5kbps
- Optimized performance with torch.compile and kv-caching
Core Capabilities
- Multi-language text-to-speech synthesis
- Voice cloning from reference audio
- Mixed-language sentence processing
- Fast inference speeds (12x faster than real-time)
- Support for properly licensed speech recordings
Frequently Asked Questions
Q: What makes this model unique?
WhisperSpeech stands out for its open-source nature, multilingual capabilities, and ability to clone voices while maintaining commercial-safe licensing. Its architecture combines state-of-the-art models in a novel way, making it both powerful and customizable.
Q: What are the recommended use cases?
The model is ideal for commercial text-to-speech applications, multilingual content generation, voice cloning applications, and research purposes. It's particularly suited for scenarios requiring high-quality speech synthesis with multiple language support.
