FunAudioLLM: A Multi-Model Framework for Natural, Multilingual, and Emotionally Expressive Voice Interactions
What advancements has AI brought to voice interaction technology?
AI has significantly advanced voice interaction technology by enabling high-precision speech recognition, emotion detection, and natural speech generation. AI-powered voice assistants like Siri and Alexa have become household names, engaging in natural conversations with users. AI models like SenseVoice and CosyVoice support multilingual speech recognition and emotionally expressive voice generation, pushing the boundaries of voice interaction technology.
How do large language models enhance voice interactions?
Large language models (LLMs) enhance voice interactions by improving speech recognition, understanding emotions, and generating natural speech across multiple languages1. They can handle complex tasks, learn from interactions, and anticipate user needs, making interactions more intuitive and human-like4. LLMs enable advanced capabilities like speech-to-speech translation, emotional voice chat, interactive podcasts, and expressive audiobook narration.