Project Title

index-tts — An Industrial-Level Controllable and Efficient Zero-Shot Text-to-Speech System

Overview

IndexTTS is an advanced, industrial-level text-to-speech (TTS) system that offers controllable and efficient zero-shot speech synthesis. It stands out for its ability to control speech duration and disentangle emotional expression from speaker identity, allowing for independent control over timbre and emotion. This project is unique in its approach to improving speech clarity in highly emotional expressions and its three-stage training paradigm for enhanced stability.

Key Features

Speech duration control for precise audio-visual synchronization
Disentanglement of emotional expression and speaker identity for independent control
Zero-shot TTS model capable of reconstructing target timbre and reproducing specified emotional tone
Incorporation of GPT latent representations for improved speech clarity
Soft instruction mechanism for emotional control based on text descriptions

Use Cases

Video dubbing where strict audio-visual synchronization is required
Voice-over applications needing precise control over speech duration and emotional tone
Content creation platforms that require customizable voice outputs for various characters

Advantages

State-of-the-art performance in word error rate, speaker similarity, and emotional fidelity
Supports two generation modes: precise duration control and free autoregressive generation
Enhanced speech stability through a novel three-stage training paradigm
Lowers the barrier for emotional control with a soft instruction mechanism

Limitations / Considerations

The project's license is currently unknown, which may affect its use in commercial applications
The system's complexity might require significant computational resources for training and deployment

Tacotron 2: An open-source text-to-speech synthesis project that focuses on naturalness but lacks the duration control and emotional expression features of IndexTTS.
WaveNet: A deep neural network for generating raw audio waveforms, which can be used for TTS but does not offer the same level of control over speech duration and emotional expression as IndexTTS.
Parallel WaveGAN: A high-quality vocoder for TTS systems, which can be used in conjunction with IndexTTS to improve the naturalness of synthesized speech.

Basic Information

GitHub: https://github.com/index-tts/index-tts
Stars: 11,473
License: Unknown
Last Commit: 2025-09-23

📊 Project Information

Project Name: index-tts
GitHub URL: https://github.com/index-tts/index-tts
Programming Language: Python
⭐ Stars: 11,473
🍴 Forks: 1,182
📅 Created: 2025-02-06
🔄 Last Updated: 2025-09-23

🏷️ Project Topics

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🎥 Video Tutorials

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index-tts

Project Description