viXTTS
Property | Value |
---|---|
Author | capleaf |
License | Coqui Public Model License |
Base Model | XTTS-v2.0.3 |
Model URL | https://huggingface.co/capleaf/viXTTS |
What is viXTTS?
viXTTS is an advanced text-to-speech model specifically optimized for Vietnamese language processing while maintaining multilingual capabilities. Built upon the XTTS-v2.0.3 architecture, this model stands out for its ability to clone voices across different languages using just a 6-second audio sample. The model has been fine-tuned on the viVoice dataset with an expanded tokenizer for Vietnamese language support.
Implementation Details
The model represents a significant advancement in multilingual voice synthesis, particularly focusing on Vietnamese language support. It employs an enhanced tokenizer specifically adapted for Vietnamese while maintaining support for 17 other languages. The implementation builds upon the robust XTTS architecture, with specific optimizations for Vietnamese speech patterns.
- Fine-tuned on viVoice dataset
- Expanded tokenizer for Vietnamese language
- Based on XTTS-v2.0.3 architecture
- Requires minimal audio input (6 seconds) for voice cloning
Core Capabilities
- Support for 18 languages including English, Spanish, French, German, and Vietnamese
- Voice cloning with minimal audio input
- Optimized performance for Vietnamese language
- Cross-lingual voice synthesis
Frequently Asked Questions
Q: What makes this model unique?
viXTTS uniquely combines extensive language support with specialized Vietnamese optimization, allowing for high-quality voice cloning across 18 languages with just 6 seconds of audio input. Its Vietnamese-focused fine-tuning makes it particularly effective for Vietnamese speech synthesis while maintaining multilingual capabilities.
Q: What are the recommended use cases?
The model is ideal for applications requiring Vietnamese text-to-speech conversion, multilingual voice cloning, and cross-lingual speech synthesis. It's particularly suitable for applications needing quick voice adaptation with minimal input audio, though it's recommended to use sentences longer than 10 words for optimal Vietnamese output quality.