Spark-TTS
Official PyTorch code for inference of
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
Spark-TTS 🔥
Overview
Spark-TTS is an advanced text-to-speech system that uses the power of large language models (LLM) for highly accurate and natural-sounding voice synthesis. It is designed to be efficient, flexible, and powerful for both research and production use.
Key Features
- Simplicity and Efficiency: Built entirely on Qwen2.5, Spark-TTS eliminates the need for additional generation models like flow matching. Instead of relying on separate models to generate acoustic features, it directly reconstructs audio from the code predicted by the LLM. This approach streamlines the process, improving efficiency and reducing complexity.
- High-Quality Voice Cloning: Supports zero-shot voice cloning, which means it can replicate a speaker's voice even without specific training data for that voice. This is ideal for cross-lingual and code-switching scenarios, allowing for seamless transitions between languages and voices without requiring separate training for each one.
- Bilingual Support: Supports both Chinese and English, and is capable of zero-shot voice cloning for cross-lingual and code-switching scenarios, enabling the model to synthesize speech in multiple languages with high naturalness and accuracy.
Install
Clone and Install
- Clone the repo
git clone https://github.com/SparkAudio/Spark-TTS.git
cd Spark-TTS
- Install Conda: please see https://docs.conda.io/en/latest/miniconda.html
- Create Conda env:
conda create -n sparktts -y python=3.12
conda activate sparktts
pip install -r requirements.txt
# If you are in mainland China, you can set the mirror as follows:
pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com
Model Download
TBD
Basic Usage
You can simply run the demo with the following commands:
cd example
bash infer.sh
Demos
Here are some demos generated by Spark-TTS using zero-shot voice cloning. For more demos, visit our demo page.
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Donald Trump |
Zhongli (Genshin Impact) |
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陈鲁豫 Chen Luyu |
杨澜 Yang Lan |
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余承东 Richard Yu |
马云 Jack Ma |
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刘德华 Liu Dehua |
徐志胜 Xu Zhisheng |
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哪吒 Nezha |
李靖 Li Jing |