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  3. Fish-Speech
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Fish-Speech

SOTA Open Source TTS for high-quality text-to-speech synthesis with multilingual support.

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Introduction

Introduction to Fish-Speech

Fish-Speech is a state-of-the-art open-source text-to-speech (TTS) system that allows users to generate high-quality speech from text input. It features a variety of capabilities making it versatile for several applications in the field of TTS.

Key Features:
  • Zero-shot & Few-shot TTS: Input a short vocal sample (10-30 seconds) to produce natural-sounding TTS output.
  • Multilingual & Cross-lingual Support: Supports numerous languages including English, Japanese, Korean, Chinese, French, German, Arabic, and Spanish without the need for language specification.
  • No Phoneme Dependency: Strong generalization capabilities enable processing text in any script without relying on phonemes.
  • High Accuracy: Achieves a low Character Error Rate (CER) and Word Error Rate (WER) of about 2% on 5-minute English texts.
  • Fast Performance: Optimized for speed with a real-time factor of 1:5 on an Nvidia RTX 4060 and 1:15 on an Nvidia RTX 4090.
  • User-Friendly WebUI: Easy-to-use interface based on Gradio, compatible with popular browsers.
  • GUI Inference: A PyQt-based graphical interface for seamless integration with the API, supporting major OS environments (Linux, Windows, macOS).
  • End-to-End Integration: Combines ASR and TTS without requiring additional models.
  • Timbre and Emotion Control: Allows adjusting voice characteristics and generating speech with various emotional tones.
Benefits:
  • Advanced Technology: Leverages the latest advances in TTS technology and deep learning.
  • Open Source: Community-driven enhancement and customization capabilities.
  • Scalable Deployment: Easy deployment for different environments, maintaining optimal performance across platforms.

Fish-Speech is ideal for developers and researchers looking for a robust TTS solution that offers flexibility, performance, and modern features for various speech synthesis applications.

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Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

Categories

  • AI Models
  • AI Application Platforms
  • AI Audio Tools

Tags

  • Open Source

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