SuperAPI AI Directory

Fish Speech 1.5 - A speech synthesis model launched by Fish Audio, supporting 13 languages

Author: AI小集 · Original source: AI工具集

What is Fish Speech 1.5

Fish Speech 1.5 is a text-to-speech (TTS) model launched by 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, and has zero-shot and few-shot speech synthesis capabilities. It can imitate high-quality speech with only 10 to 30 seconds of voice samples, and the latency of the voice cloning function is less than 150 milliseconds. The model has strong generalization ability, does not rely on phonemes, and can handle scripts in any language. The upcoming real-time seamless conversation feature will allow users to engage in interactive chats anytime and anywhere. Fish Speech 1.5 open-sources the pretrained model and supports local deployment, suitable for Linux, Windows, and macOS systems.

Fish Speech 1.5

Main features of Fish Speech 1.5

  • Multilingual support: Supports 13 languages including English, Japanese, Korean, and Chinese, and can handle text in multiple languages.
  • Zero-shot and few-shot speech synthesis: Imitates and generates high-quality speech synthesis output based on very short voice samples (10 to 30 seconds).
  • No phoneme dependency: Unlike traditional speech synthesis models, Fish Speech 1.5 does not rely on phonemes and has stronger generalization ability.
  • Highly accurate: For a 5-minute English article, the error rate is as low as 2%.
  • Fast synthesis: On high-performance hardware, it can achieve fast real-time speech synthesis.

Technical principles of Fish Speech 1.5

  • Transformer architecture: A model based on the self-attention mechanism that can process sequence data and is widely used in language processing tasks.
  • VITS(Vector Quantized Transformer-based Speech Synthesis): A speech synthesis model based on Transformer that improves synthesis efficiency and quality based on quantization techniques.
  • VQVAE(Vector Quantized Variational Autoencoder): A variational autoencoder that learns compressed representations of data based on quantization techniques.
  • GPT(Generative Pre-trained Transformer): A pretrained language model trained on large amounts of text data to generate coherent and natural text.

Project address of Fish Speech 1.5

Application scenarios of Fish Speech 1.5

  • Audiobooks and audio books: Converts e-books or documents into audiobooks, providing users with a convenient listening experience.
  • Assistive technology: Provides text-to-speech services for visually impaired people, helping users "read" content on the screen.
  • Language learning: Simulates the pronunciation of different languages to help learners practice listening and pronunciation.
  • Customer service: Used in call centers or chatbots to provide automated voice reply services.
  • News and broadcasting: Automatically generates voice versions of news reports for radio or online news services.