fish audio agent

1.

Fish Audio Agent V0.1 3B is a voice-to-voice artificial intelligence (AI) model that can capture, understand, and generate environmental sounds in audio, distinguishing it from typical speech-to-text or text-to-speech models. It is also notable for being a semantic-token-free architecture, meaning it processes audio directly without needing to first convert it into text-based semantic units, potentially leading to higher fidelity and accuracy in audio processing.
Fish Audio Agent is built upon the foundation of the Qwen-2.5-3B-Instruct model, further trained with an immense dataset of 200 billion voice and text tokens.This extensive training enables the model to comprehend and produce speech that is intricately interwoven with nuanced environmental sounds.
Beyond its audio processing prowess, Fish Audio Agent also shines as a cutting-edge text-to-speech (TTS) system. Its training involved a massive dataset encompassing 700,000 hours of multilingual audio content, empowering it to generate remarkably natural-sounding speech in a variety of languages.
Fish Audio Agent Features
Zero-shot & Few-shot TTS: Users can input a short vocal sample (10-30 seconds) to generate high-quality TTS output.

Multilingual & Cross-lingual Support: The model handles multilingual text input seamlessly, supporting English, Japanese, Korean, Chinese, French, German, Arabic, and Spanish.

No Phoneme Dependency: Fish Audio Agent does not rely on phonemes for TTS, demonstrating strong generalization capabilities and the ability to handle text in any language script.

Highly Accurate: The model exhibits low Character Error Rate (CER) and Word Error Rate (WER), approximately 2% for 5-minute English texts.

Fast Inference Speed: With fish-tech acceleration, the real-time factor is about 1:5 on an Nvidia RTX 4060 laptop and 1:15 on an Nvidia RTX 4090.

Multiple Inference Options: Fish Audio Agent provides:

WebUI Inference: Easy-to-use, Gradio-based web UI compatible with Chrome, Firefox, Edge, and other browsers.

GUI Inference: PyQt6 graphical interface that works seamlessly with the API server, supporting Linux, Windows, and macOS.

Deploy-Friendly: Easily set up an inference server with native support for Linux, Windows and MacOS, minimizing speed loss.

I think, you can use Fish Agent on;

Immersive Dubbing: Create realistic dubbing for films and videos, where the generated dialogue blends naturally with the scene's background audio.

Next-Gen Voice Assistants: Develop interactive voice assistants capable of responding with realistic voice inflections and incorporating relevant background sounds based on the user's environment.
Enhanced Accessibility Tools: Generate audio descriptions of visual content for visually impaired individuals, enriching the experience with environmental sounds.

Innovative Audio Content Creation: Provide musicians and sound designers with a powerful tool to create novel sound effects and audio textures.

Personalized Text-to-Speech: Offer personalized audiobooks and voice messages by fine-tuning the model to generate speech that sounds like a specific individual.

Github: https://github.com/fishaudio/fish-speech

Demo: https://github.com/AnyaCoder/fish-speech-gui

Youtube: https://www.youtube.com/watch?v=Ghc8cJdQyKQ