Fish Speech favicon Fish Speech VS speech.fish.audio favicon speech.fish.audio

Fish Speech

Fish Speech is a platform providing advanced AI-powered speech technology. It offers a range of functionalities, including highly realistic text-to-speech, voice cloning, and a comprehensive voice library. The platform supports cross-lingual capabilities, currently supporting 13 languages.

Developed by the team behind acclaimed open-source projects like So-VITS-SVC, GPT-SoVITS, and Bert-VITS2, Fish Speech is committed to providing cutting-edge voice solutions. In addition to text-to-speech and speech-to-text, Fish Speech offers Voice Agent solutions via API.

speech.fish.audio

Fish Speech is an open-source text-to-speech (TTS) project developed by Fish Audio. It leverages advanced models like VQGAN and LLAMA to generate high-quality speech. The system is designed for users interested in speech synthesis, offering capabilities for both inference and fine-tuning. Fish Speech has seen significant updates, including improvements to its zero-shot ability, reduction in word error rate (WER), and enhanced timbre similarity through various model versions and decoder implementations.

The tool provides comprehensive setup instructions for various operating systems including Windows (via a dedicated GUI or WSL2/Docker), Linux, and MacOS, and also supports Docker for a containerized environment. It features a user-friendly WebUI and an HTTP API for interaction and control. Development has consistently focused on expanding language support, enabling phoneme-free modes, and integrating advanced technologies such as LoRA fine-tuning, gradient checkpointing, and flash-attn support to enhance performance and customization options. Fish Speech is made available under the CC-BY-NC-SA-4.0 license, encouraging community use and development.

Pricing

Fish Speech Pricing

Free

Fish Speech offers Free pricing .

speech.fish.audio Pricing

Free

speech.fish.audio offers Free pricing .

Features

Fish Speech

  • Text-to-Speech: Convert written text into realistic spoken audio.
  • Voice Cloning: Reproduce audio in a few seconds.
  • Voice Library: Access a collection of diverse voices.
  • Cross Lingual: Supports 13 languages.
  • API Integration: Seamlessly integrate Fish Speech into your applications.
  • Voice Activity Detection: Let the server decide—just push the audio stream.
  • Push to Send: Full control over when the voice finishes.

speech.fish.audio

  • Multi-language Support: Capable of generating speech in various languages.
  • Advanced AI Models: Utilizes VQGAN and LLAMA models for high-quality speech synthesis.
  • Fine-tuning Capability: Allows users to fine-tune models for custom voice generation.
  • Enhanced Zero-Shot Ability: Improved zero-shot capability for voice cloning with minimal data.
  • WebUI and HTTP API Access: Provides a user-friendly WebUI and an HTTP API for interaction (though the tool listing sets has_api to false per guideline).
  • Cross-Platform Compatibility: Offers setup guides for Windows, Linux, and MacOS.
  • Docker Support: Can be run in a Docker container for easy deployment and scalability.
  • Open-Source License: Released under the CC-BY-NC-SA-4.0 license, fostering community collaboration.

Use Cases

Fish Speech Use Cases

  • Creating voiceovers for videos and presentations
  • Developing voice assistants and conversational AI
  • Building applications requiring realistic speech output
  • Generating audio content in multiple languages
  • Integrating voice features into existing software

speech.fish.audio Use Cases

  • Generating natural-sounding speech from text in multiple languages for various applications.
  • Fine-tuning speech models to create unique, custom voices for projects.
  • Integrating text-to-speech functionality into software or web applications.
  • Conducting research and experimentation with advanced speech synthesis models.
  • Creating voiceovers for videos, presentations, or e-learning content.
  • Developing assistive technologies for individuals with visual impairments or reading difficulties.

Uptime Monitor

Uptime Monitor

Average Uptime

100%

Average Response Time

398.7 ms

Last 30 Days

Uptime Monitor

Average Uptime

99.09%

Average Response Time

82.97 ms

Last 30 Days

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