FunAudioLLM
Basic model of speech understanding and generation for natural interaction
Product Details
FunAudioLLM is a framework designed to enhance natural speech interaction between humans and Large Language Models (LLMs). It contains two innovative models: SenseVoice is responsible for high-precision multilingual speech recognition, emotion recognition and audio event detection; CosyVoice is responsible for natural speech generation and supports multilingual, timbre and emotion control. SenseVoice supports more than 50 languages and has extremely low latency; CosyVoice is good at multilingual voice generation, zero-sample context generation, cross-language voice cloning and command following capabilities. The relevant models have been open sourced on Modelscope and Huggingface, and the corresponding training, inference and fine-tuning codes have been released on GitHub.
Main Features
How to Use
Target Users
FunAudioLLM's target audience includes technology developers, speech technology researchers, and enterprise users, who can use this framework to develop applications with advanced speech interaction capabilities, such as speech translation, emotional voice chat, interactive podcasts, and expressive audiobook reading.
Examples
Use SenseVoice and CosyVoice integration to develop emotional voice chat applications to provide a warm and friendly interactive experience.
Use FunAudioLLM to create interactive podcasts that allow listeners to interact with virtual characters in the podcast in real time.
Analyze book emotions through LLMs and use CosyVoice to synthesize expressive audiobooks to enhance the listener's reading experience.
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