Fish Speech TTS: Another Open Source TTS for Voice Clone Solutions

Fish Speech TTS is a powerful open-source text-to-speech solution that offers high-quality multilingual voice synthesis with customization options for various platforms.

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Fish Speech TTS: Another Open Source TTS for Voice Clone Solutions

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Fish Speech TTS represents a significant leap forward in open-source text-to-speech technology, offering a powerful and versatile solution for developers, researchers, and enthusiasts. Developed by Fish Audio, this innovative system combines advanced deep learning techniques with extensive multilingual training data to produce high-quality, natural-sounding speech across multiple languages.

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What is Fish Speech TTS?

At its core, Fish Speech TTS is designed to generate human-like speech from text input, supporting English, Chinese, and Japanese languages. The system's architecture leverages state-of-the-art machine learning models and techniques to achieve remarkable performance and flexibility.

Key features of Fish Speech TTS include:

Multilingual Support: The system can generate speech in English, Chinese, and Japanese, making it suitable for a wide range of applications and markets.

High-Quality Output: Fish Speech produces natural-sounding speech with proper intonation, rhythm, and accent, rivaling commercial solutions.

Fast Inference: The model operates at approximately 20 tokens per second, allowing for rapid content generation (around 20 seconds of audio per second on a 4090 GPU).

Customizability: Users can fine-tune the model on their own data, enabling voice cloning and personalized speech synthesis.

Open-Source: The entire codebase is available on GitHub, promoting transparency and community-driven development.

Scalability: Fish Speech is available in both Medium (400M parameters) and Large (1B parameters) versions, catering to different computational requirements and use cases.

How Does Fish Speech TTS Work?

Technical Architecture of Fish Speech TTS
Technical Architecture of Fish Speech TTS

The Fish Speech TTS system employs a sophisticated architecture that combines several cutting-edge techniques in speech synthesis:

Text-to-Semantic Model

At the heart of Fish Speech is a large language model (LLM) based on the LLAMA architecture. This model is responsible for converting input text into semantic representations, capturing the meaning and intent of the text. The LLM has been trained on vast amounts of textual data, enabling it to understand context and generate appropriate semantic encodings.

VQGAN for Audio Generation

Fish Speech utilizes a Vector Quantized Generative Adversarial Network (VQGAN) to convert the semantic representations into audio features. This component is crucial for capturing the nuances of speech, including prosody, intonation, and speaker characteristics.

VITS Decoder

In version 1.1, Fish Speech introduced a VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) decoder. This addition helps to reduce word error rates and improve timbre similarity, resulting in more accurate and natural-sounding speech output.

Dual AR Decoding Strategy

To ensure stable and high-quality audio generation, Fish Speech employs a Dual Autoregressive (AR) decoding strategy. This approach uses two autoregressive models:

  1. The first AR model decodes hidden features at a rate of approximately 20 tokens per second.
  2. The second AR model then decodes these features into the final audio codebooks.

This strategy has proven to be more reliable than alternative methods, especially when dealing with a large number of codebooks.

Training Process and Data

The development of Fish Speech involved an extensive and computationally intensive training process. The model was trained on a massive dataset comprising 150,000 hours of audio data, equally distributed across English, Chinese, and Japanese languages (50,000 hours each).The initial pretraining phase required approximately one week of computation time on a cluster of 16 NVIDIA A800 GPUs. This phase allowed the model to learn general speech patterns and characteristics across the three supported languages.Following the pretraining, the model underwent Supervised Fine-Tuning (SFT) on a high-quality mixed-language dataset of 1,000 hours. This step helped refine the model's output quality and ensure consistent performance across languages.

Performance and Benchmarks

Fish Speech TTS has demonstrated impressive performance, rivaling and sometimes surpassing commercial solutions in terms of speech quality and naturalness. The system's ability to generate content at approximately 20 tokens per second translates to about 20 seconds of audio generated per second on a high-end GPU like the NVIDIA 4090.This speed advantage is particularly noteworthy, as it reduces the likelihood of losing or repeating words and sentences during generation, a common issue in slower TTS systems.
Here's an additional section on running Fish Speech TTS on different operating systems, along with a brief description:

How to Run Fish Speech TTS on Windows/ Linux

Windows

  1. Install Python 3.9 or later from python.org
  2. Open Command Prompt and run: pip install torch torchvision torchaudio
  3. Install Git from git-scm.com
  4. Clone the repository: git clone https://github.com/fishaudio/fish-speech.git
  5. Navigate to the project directory: cd fish-speech
  6. Install dependencies: pip install -e .
  7. Run the WebUI: python webui.py

Linux

  1. Update package manager: sudo apt update (for Ubuntu/Debian)
  2. Install Python: sudo apt install python3 python3-pip
  3. Install PyTorch: pip3 install torch torchvision torchaudio
  4. Install Git: sudo apt install git
  5. Clone the repository: git clone https://github.com/fishaudio/fish-speech.git
  6. Navigate to the project directory: cd fish-speech
  7. Install dependencies: pip3 install -e .
  8. Install Flash Attention: pip3 install ninja && MAX_JOBS=4 pip3 install flash-attn --no-build-isolation
  9. Run the WebUI: python3 webui.py

Fish Speech TTS is a powerful open-source text-to-speech solution that offers high-quality multilingual voice synthesis with customization options for various platforms.

Conclusion

Fish Speech TTS represents a significant milestone in open-source speech synthesis technology. By offering high-quality, multilingual text-to-speech capabilities in an accessible format, it empowers developers, researchers, and businesses to incorporate advanced speech technology into their projects and applications.

The combination of extensive training data, sophisticated model architecture, and ongoing development efforts positions Fish Speech as a compelling alternative to commercial TTS solutions. As the project continues to evolve and improve, it has the potential to drive innovation in various fields, from accessibility and education to entertainment and customer service.

For those interested in exploring or contributing to the future of speech synthesis, Fish Speech TTS offers an exciting opportunity to engage with cutting-edge technology in an open and collaborative environment. Whether you're looking to implement TTS in your own projects or contribute to the advancement of speech technology, Fish Speech provides a robust and flexible foundation for your endeavors.

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Anakin AI is an all-in-one platform for all your workflow automation, create powerful AI App with an easy-to-use No Code App Builder, with Llama 3, Claude Sonnet 3.5, GPT-4, Uncensored LLMs, Stable Diffusion...

Build Your Dream AI App within minutes, not weeks with Anakin AI!
Anakin AI: the All-in-One Solution for any LLMs!
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