IndexTTS
High-quality TTS synthesis with IndexTTS: optimal for voice assistants, audiobooks & more. Open-source, multi-language support, and advanced拼音 correction enhance natural speech.
English
English
IndexTTS is a cutting-edge text-to-speech (TTS) model built upon the strengths of XTTS and Tortoise, utilizing a GPT-style architecture. It's designed to deliver high-quality speech synthesis, exceeding the performance of popular systems like XTTS, CosyVoice2, and F5-TTS. Trained on tens of thousands of hours of data, IndexTTS offers significant advantages for developers, researchers, and businesses.
Unlike many TTS models, IndexTTS incorporates a unique character-pinyin mixed modeling approach for Chinese, significantly improving training stability, voice similarity, and overall audio quality. This innovative method addresses common challenges in Chinese speech synthesis, resulting in more natural and accurate pronunciation. Furthermore, the integration of BigVGAN2 further refines the audio output, ensuring a superior listening experience.
Improved Accuracy: IndexTTS corrects pronunciation using pinyin (the romanization of Chinese characters), leading to significantly more accurate speech synthesis, particularly for complex Chinese words.
Natural Fluency: Punctuation marks are intelligently used to control pauses and intonation, resulting in more natural-sounding speech with improved rhythm and flow.
Superior Audio Quality: Leveraging a Conformer conditional encoder and a BigVGAN2 decoder, IndexTTS produces high-fidelity audio with enhanced clarity and richness.
Zero-Shot Voice Cloning: Quickly adapt the model to different speakers' voices, enabling personalized and versatile voice generation.
Multilingual Support: Currently supports high-quality synthesis in both Chinese and English, with plans for future language expansion.
IndexTTS is ideal for a wide range of users including:
Developers: Easily integrate high-quality speech generation into applications such as voice assistants, interactive storytelling, and more.
Researchers: Its open-source nature makes it a valuable tool for exploring and advancing the field of speech synthesis. The innovative techniques used provide a strong foundation for further research and development.
Businesses: Enhance products and services with natural-sounding voice capabilities, improving user experience and accessibility.
IndexTTS offers versatile applications across various sectors:
Voice Assistants: Create more natural and engaging interactions with intelligent assistants.
Audiobooks: Generate high-quality audiobooks in multiple languages, providing accessibility to a wider audience.
Video Production: Quickly generate professional-sounding narration and voiceovers for videos.
Our comprehensive guide helps you get started quickly:
Clone the Repository: Access the IndexTTS GitHub repository and clone or download the code.
Install Dependencies: Install necessary libraries such as PyTorch and other required tools (specific instructions are provided in the repository).
Prepare Data: Prepare your audio datasets and perform any necessary preprocessing steps.
Train or Load: Train the model using the provided scripts, or load a pre-trained model for immediate use.
Optimize Configuration: Adjust the configuration files to fine-tune model performance for your specific needs.
Generate Speech: Use the model to synthesize speech from text, generating high-quality audio files.
Integration: Integrate IndexTTS into your application using the provided API or command-line tools.
We are committed to providing ongoing support and updates to the IndexTTS community. Visit our GitHub page for the latest information, documentation, and community support.
