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Fish Speech 1.5 - A speech synthesis model from Fish Audio that supports 13 languages.

Fish Speech 1.5 is a text-to-speech (TTS) model from Fish Audio, based on deep learning technologies such as Transformer, VITS, VQVAE, and GPT. Fish Speech 1.5 supports English, Japanese, Korean, ...

What is Fish Speech 1.5?

Fish Speech 1.5 is a text-to-speech (TTS) model from Fish Audio, based on deep learning technologies such as Transformer, VITS, VQVAE, and GPT. Fish Speech 1.5 supports 13 languages, including English, Japanese, Korean, and Chinese. It features zero-shot and few-shot speech synthesis capabilities, mimicking high-quality speech with only 10 to 30 seconds of audio samples. The speech cloning function has a latency of less than 150 milliseconds. The model has strong generalization ability, does not rely on phonemes, and can handle any language script. A real-time seamless dialogue function is coming soon, allowing users to engage in interactive chat anytime, anywhere. Fish Speech 1.5 is an open-source pre-trained model that supports local deployment and is compatible with Linux, Windows, and macOS systems.

Main features of Fish Speech 1.5

  • Multilingual supportIt supports 13 languages, including English, Japanese, Korean, and Chinese, and can process text in multiple languages.
  • Zero-shot and few-shot speech synthesisIt mimics and generates high-quality speech synthesis output based on extremely short sound samples (10 to 30 seconds).
  • Phoneme-freeUnlike traditional speech synthesis models, Fish Speech 1.5 does not rely on phonemes and has stronger generalization ability.
  • Highly accurateFor a 5-minute English article, the error rate is as low as 2%.
  • Rapid synthesisIt enables fast real-time speech synthesis on high-performance hardware.

Technical Principles of Fish Speech 1.5

  • Transformer architectureA model based on a self-attention mechanism that can process sequential data and is widely used in language processing tasks.
  • VITS (Vector Quantized Transformer-based Speech Synthesis)A Transformer-based speech synthesis model that improves synthesis efficiency and quality through quantization techniques.
  • VQVAE (Vector Quantized Variational Autoencoder)A variational autoencoder that learns a compressed representation of data based on quantization techniques.
  • GPT (Generative Pre-trained Transformer)A pre-trained language model that generates coherent and natural text based on a large amount of text data.

Fish Speech 1.5 project address

Application scenarios of Fish Speech 1.5

  • Audiobooks and audiobooksIt converts e-books or documents into audiobooks, providing users with a convenient listening experience.
  • assistive technologyIt provides text-to-speech services for visually impaired people, helping users "read" content on the screen.
  • Language learningIt simulates the pronunciation of different languages to help learners practice listening and pronunciation.
  • Customer ServiceUsed in call centers or chatbots to provide automated voice response services.
  • News and broadcastsAutomatically generates audio versions of news reports for broadcasting or online news services.
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