Spark TTS

Advanced Text-to-Speech with Zero-Shot Voice Cloning Technology

Gallery of Spark TTS Voice Samples

Hear the impressive results achieved with Spark TTS

Donald Trump
Zhongli (Genshin Impact)

What is Spark TTS?

Next-Generation LLM-Based Text-to-Speech Technology

Spark TTS represents a breakthrough in text-to-speech technology. Built on the powerful Qwen2.5 foundation, it delivers remarkably natural voice synthesis through an innovative single-stream approach. Our decoupled speech tokens method eliminates the need for separate acoustic models, setting new standards for efficiency and quality.

  • Zero-Shot Voice Cloning: Replicate any voice with just a short audio sample
  • Bilingual Support: Seamless synthesis in both Chinese and English
  • Controllable Generation: Adjust gender, pitch, and speaking rate
  • Streamlined Architecture: Direct audio reconstruction from LLM predictions

Getting Started with Spark TTS

Quick Guide to Using Our TTS Platform

  1. Choose between voice cloning or controlled generation mode
  2. Upload a reference audio sample or adjust voice parameters
  3. Enter your text for synthesis

Spark TTS Key Features

Discover What Makes Our TTS Technology Stand Out

Simplified Architecture

Built entirely on Qwen2.5 without additional generation models like flow matching

Cross-Lingual Capabilities

Seamlessly switch between Chinese and English with natural pronunciation

Voice Customization

Create virtual speakers by adjusting gender, pitch, and speaking rate parameters

Research-Backed Technology

Developed by leading institutions including HKUST, Mobvoi, and more

Frequently Asked Questions

 What makes Spark TTS different from other TTS models?

Spark TTS uses a unique single-stream approach with decoupled speech tokens. Unlike other systems, it directly reconstructs audio from LLM predictions without separate acoustic models, making it more efficient and simpler.

 How does Spark TTS handle voice cloning?

Spark TTS supports zero-shot voice cloning, meaning it can replicate a speaker's voice from just a short audio sample without specific training. This works even for cross-lingual scenarios.

 Is Spark TTS suitable for both Chinese and English?

Yes! Spark TTS has full bilingual support for both Chinese and English, with excellent code-switching capabilities for mixed-language content. The model maintains natural pronunciation in both languages.

 What voice customization options does Spark TTS offer?

Spark TTS allows you to create virtual speakers by adjusting parameters such as gender, pitch, and speaking rate. This gives you precise control over the voice characteristics.

 Can Spark TTS work with my existing tools?

Yes! Spark TTS provides both command-line and web UI interfaces for easy integration. The model can be deployed on standard hardware with Python 3.12+ and PyTorch 2.5+.

 What makes Spark TTS's architecture unique?

Spark TTS is built entirely on Qwen2.5, eliminating the need for additional generation models like flow matching. It directly reconstructs audio from the code predicted by the LLM, streamlining the process.

 Is Spark TTS suitable for research purposes?

Absolutely. Spark TTS was developed by leading research institutions including HKUST, Mobvoi, and others. The model is available under the Apache 2.0 license, making it ideal for academic and research applications.

 How often is Spark TTS updated?

The Spark TTS team regularly releases updates to enhance the model's capabilities. Future plans include releasing training code and the VoxBox dataset used for development.

 What technical requirements does Spark TTS have?

Spark TTS requires Python 3.12+ and PyTorch 2.5+. It runs on Linux systems (with Windows support available through community guides) and benefits from GPU acceleration for faster inference.

 Can I use Spark TTS for commercial projects?

Spark TTS is released under the Apache 2.0 license, which allows for commercial use. However, please ensure you follow the ethical usage guidelines and avoid using it for impersonation, fraud, or other harmful purposes.