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VALL-E X: Multilingual Text-to-Speech and Voice Cloning

What is the project about?

VALL-E X is an open-source implementation of Microsoft's VALL-E X, a multilingual text-to-speech (TTS) model capable of zero-shot voice cloning. It generates speech in multiple languages and can mimic a speaker's voice from a short audio sample.

What problem does it solve?

It provides a publicly available, trained model for high-quality, multilingual TTS and voice cloning, which Microsoft's original research paper did not include. It democratizes access to advanced TTS technology. It also solves the problem of needing large datasets for voice cloning, as it can clone with only a 3-10 second sample.

What are the features of the project?

  1. Multilingual TTS: Supports English, Chinese, and Japanese.
  2. Zero-shot Voice Cloning: Clones a voice from a short (3-10 second) recording.
  3. Speech Emotion Control: Synthesizes speech with the emotion of the provided audio prompt.
  4. Zero-shot Cross-Lingual Speech Synthesis: Generates speech in a different language than the speaker's native language.
  5. Accent Control: Allows for experimentation with different accents (e.g., Chinese with an English accent).
  6. Acoustic Environment Maintenance: Preserves the acoustic environment of the input prompt in the generated speech.
  7. Long Text Generation: Support for generating longer audio outputs.
  8. Batch Decoding: AR decoder batch decoding for more stable generation.

What are the technologies used in the project?

  • Python
  • PyTorch (2.0+)
  • CUDA (11.7 ~ 12.0)
  • Whisper (for transcript generation, if not provided)
  • EnCodec (audio codec, replaced by Vocos)
  • Vocos decoder
  • FFmpeg

What are the benefits of the project?

  • Open Source: Freely available for research and application.
  • Lightweight and Efficient: Smaller and faster than comparable models like Bark.
  • High-Quality Output: Produces natural-sounding speech, especially in Chinese and Japanese.
  • Cross-Lingual Capabilities: Enables voice cloning and speech synthesis across languages.
  • Easy Voice Cloning: Simplifies the process of creating personalized voices.
  • User-Friendly: Includes a graphical user interface for ease of use.

What are the use cases of the project?

  • Content Creation: Generating voiceovers for videos, podcasts, and other media.
  • Accessibility: Creating personalized voices for individuals with speech impairments.
  • Language Learning: Practicing pronunciation and listening comprehension.
  • Entertainment: Creating unique voices for characters in games or animations.
  • Research: Studying and advancing the field of text-to-speech synthesis.
  • Personalized Assistants: Creating custom voices for virtual assistants.
  • Dubbing: Creating voices for dubbing in different languages and accents.
VALL-E-X screenshot