MMS-TTS: Massively Multilingual Speech Synthesis
| Property | Value |
|---|---|
| Developer | Facebook (Meta) |
| License | CC-BY-NC-4.0 |
| Paper | Scaling Speech Technology to 1,000+ Languages |
| Languages Supported | 1107 |
What is MMS-TTS?
MMS-TTS is a groundbreaking text-to-speech model that's part of Facebook's Massively Multilingual Speech project. This model represents a significant advancement in multilingual speech synthesis, supporting an unprecedented 1107 languages. It leverages the VITS architecture to generate natural-sounding speech across diverse linguistic contexts.
Implementation Details
The model implementation is based on the fairseq framework and utilizes a generator-only architecture for inference. It's designed for efficient deployment while maintaining high-quality speech synthesis across multiple languages.
- Supports both Latin and non-Latin scripts including Cyrillic, Arabic, and various indigenous writing systems
- Implements advanced VITS (Conditional Variational Autoencoder with Adversarial Learning) architecture
- Provides comprehensive language coverage from major world languages to endangered languages
Core Capabilities
- Multilingual text-to-speech synthesis across 1107 languages
- Support for multiple scripts and writing systems
- High-quality voice generation with natural prosody
- Efficient inference with generator-only architecture
- Integration with Hugging Face's transformer library
Frequently Asked Questions
Q: What makes this model unique?
The unprecedented language coverage of 1107 languages makes MMS-TTS unique, along with its ability to handle multiple scripts and writing systems while maintaining high-quality speech synthesis.
Q: What are the recommended use cases?
The model is ideal for applications requiring multilingual text-to-speech capabilities, language preservation projects, educational tools, and accessibility applications. However, due to its CC-BY-NC-4.0 license, it's restricted to non-commercial use.
