Spark-TTS

What is Spark-TTS?

Spark-TTS is a powerful text-to-speech (TTS) model that uses a large language model to create high-quality speech. It's designed to be efficient and easy to use.

Why Choose Spark-TTS?

Spark-TTS offers several key advantages:

High-Quality Speech: Generates natural-sounding speech in both English and Chinese.

Easy to Use: Simple setup and intuitive controls make it accessible to everyone.

Versatile: Works with different languages and even code, making it adaptable to many applications.

Customizable: Adjust parameters like speed, pitch, and gender to create unique voices.

Efficient: Built for speed and performance, requiring minimal resources.

Zero-Shot Capability: Can generate speech for new text without needing prior training.

Who is Spark-TTS For?

Spark-TTS is perfect for:

Researchers: Conduct experiments and studies in speech synthesis.

Developers: Integrate high-quality speech into applications.

Businesses: Create personalized voice prompts, navigation systems, and more.

Educators: Generate speech examples in different languages and styles for language learning.

Anyone interested in creating speech: No prior experience is necessary.

How to Use Spark-TTS:

Getting started is easy:

1. Clone the repository: git clone https://github.com/SparkAudio/Spark-TTS.git

2. Create a Conda environment: conda create -n sparktts -y python=3.12; conda activate sparktts

3. Install dependencies: pip install -r requirements.txt

4. Download a model: Get a pre-trained model from Hugging Face or using git lfs.

5. Run inference: Use the cli.inference script or the webui.py for a user-friendly interface.

Examples of Spark-TTS in Action:

Education: Create audio examples in various languages to help students learn.

Business: Generate personalized voice assistants or interactive product guides.

Research: Experiment with different speech synthesis techniques and parameters.

Spark-TTS makes high-quality speech synthesis accessible and efficient for everyone. Start creating today!