Llasa 3b Tts - A non-official Hugging Face demo space showcasing zero-shot voice cloning using the Llasa-3B model.

## Definition of Llasa 3b Tts The **Llasa 3b Tts** is a non-official demonstration space hosted on Hugging Face, created by **srinivasbilla**. It showcases the capabilities of the **Llasa-3B model**, a text-to-speech (TTS) system developed by **Hong Kong University of Science and Technology (HKUST)**. The space enables users to generate speech from text or clone voices using short audio samples, leveraging the model's advanced zero-shot voice cloning and multilingual (Chinese-English) TTS functionalities. ## Definition of Llasa 3b Tts The space uses the **Llasa-3B model**, a **text-to-speech (TTS) system** based on the **LLaMA framework**, developed by **HKUST**. Key features of the model include: - **Training Data**: 250,000 hours of Chinese and English speech. - **Architecture**: Utilizes **XCodec2 codebooks** (65,536 tokens) for speech processing. - **Capabilities**: Supports zero-shot voice cloning, multilingual TTS, and emotional/style matching in generated speech. The official model repository is hosted at [HKUSTAudio/Llasa-3B](https://huggingface.co/HKUSTAudio/Llasa-3B). ## Features of Llasa 3b Tts The **Llasa 3b Tts** space offers the following features: 1. **Zero-shot voice cloning**: Generates speech mimicking a target voice from just a few seconds of audio input. 2. **Multilingual TTS**: Converts text to natural-sounding speech in **Chinese and English**. 3. **Emotion and style capture**: Retains the emotional tone and stylistic nuances of input audio samples. 4. **Interactive interface**: Users can input text or upload audio samples to generate customized speech outputs. 5. **High-quality synthesis**: Leverages the Llasa-3B model’s 250,000-hour training for superior output quality. ## Accessing Llasa 3b Tts To use the **Llasa 3b Tts** space: 1. Visit the Hugging Face Space: [Llasa 3b Tts Space](https://huggingface.co/spaces/srinivasbilla/llasa-3b-tt). 2. **Input text** or **upload a short audio sample** (for voice cloning). 3. Generate and listen to the synthesized speech. Note: The model is optimized for inputs of ~300 characters; longer texts may require segmentation. ## Limitations of Llasa 3b Tts The **Llasa 3b Tts** space has the following limitations: - **Non-official status**: The space is a community demo, not directly maintained by HKUST. Discrepancies may exist between the space and the [official model](https://huggingface.co/HKUSTAudio/Llasa-3B). - **Licensing**: The model uses a **cc-by-nc-4.0 license**, prohibiting free commercial use. - **Output quality**: Some users report robotic or monotonous speech generation, especially for longer texts. - **Hardware requirements**: The model requires ~10GB GPU memory for inference, which may limit accessibility. ## Related Resources for Llasa-3B Additional resources for the **Llasa-3B model** include: - **Official documentation**: [HKUSTAudio/Llasa-3B](https://huggingface.co/HKUSTAudio/Llasa-3B). - **Blog post**: [The SOTA Text-to-speech and Zero Shot Voice cloning model](https://huggingface.co/blog/srinivasbilla/llasa-tts) by srinivasbilla. - **Training guide**: [Finetune Instruction](https://github.com/zhenye234/LLaSA_training/tree/main/finetune) for custom model adaptation. - **Research paper**: [arXiv preprint](https://arxiv.org/abs/2502.04128) detailing model architecture and performance. ### Citation sources: - [Llasa 3b Tts](https://huggingface.co/spaces/srinivasbilla/llasa-3b-tt) - Official URL Updated: 2025-03-31