About F5 TTS

F5-TTS is an advanced artificial intelligence text-to-speech technology developed by researchers including Yushen Chen and colleagues. Released as an open-source model with 335M parameters, it represents a significant advancement in speech synthesis technology. The system is designed to convert written text into natural-sounding speech without requiring traditional components like phoneme alignment or duration prediction. F5-TTS supports multiple languages and can perform zero-shot voice cloning, making it particularly versatile for various applications ranging from audiobook production to virtual assistants.

Key Features

F5-TTS is a free, advanced AI-powered text-to-speech system that uses flow matching with Diffusion Transformer (DiT) technology. It offers zero-shot voice cloning capabilities, multilingual support, and real-time synthesis without requiring complex components like duration models or phoneme alignment. The system can generate natural and expressive speech with an inference RTF of 0.15, making it significantly faster than other diffusion-based TTS models. Zero-Shot Voice Cloning: Ability to clone and mimic voices from just a short audio sample without prior training or fine-tuning Non-autoregressive Architecture: Uses Diffusion Transformer with ConvNeXt V2 for faster training and inference without complex components like duration models or phoneme alignment Multilingual Support: Capable of handling multiple languages and seamless code-switching, trained on a 100K hours multilingual dataset Emotion Expression: Ability to generate speech with various emotional tones and expressions, adding depth to audio content

Use Cases

Audiobook Production: Create engaging narrations with diverse character voices without needing multiple voice actors E-Learning Content: Generate natural-sounding voiceovers for educational materials and online courses Voice Assistant Development: Create custom voices for AI assistants and chatbots to enhance user interaction

Pros

Fast inference speed with RTF of 0.15 No need for complex components like phoneme alignment Free to use with online demo available

Cons

Limited fine-tuning options currently available Requires significant computational resources Some features still under development

How to Use

Install F5-TTS: Clone the repository with: git clone https://github.com/SWivid/F5-TTS.git and cd into F5-TTS directory Install Dependencies: Run 'pip install -e .' to install required packages. Optionally run 'git submodule update --init --recursive' if you need BigVGAN Download Models: Download the F5-TTS model weights from Hugging Face: https://huggingface.co/SWivid/F5-TTS and place them in the models folder Prepare Audio Reference: Have a clear, high-quality audio recording ready that contains the voice you want to clone. This will be used as the reference voice Launch Interface: Start the Gradio web interface by running the appropriate launch script (specific command not provided in sources) Upload Reference Audio: Click the 'Upload Audio' button in the interface and select your reference audio file containing the voice you want to clone Enter Text: Type or paste the text you want to convert to speech using the cloned voice Generate Speech: Click the generate/convert button to create the synthesized speech using your reference voice and input text

Official Website

Visit https://www.f5tts.net/ to learn more.