Kimi-Audio is a large language model audio foundation model designed to understand audio input and generate high-fidelity speech responses in real time. It functions as a unified system encompassing a text-to-speech synthesis engine and a speech-to-text transcription tool.
The project enables real-time audio conversations through a multi-modal conversation loop and chunk-wise streaming detokenization to reduce playback latency. It provides controls over speech speed, accent, and emotional tone during conversational audio generation.
The system covers audio intelligence capabilities, including audio content analysis, emotion recognition, scene classification, and captioning. It also includes an audio model fine-tuning toolkit for instruction-based adaptation and a benchmarking suite for evaluating performance via standardized metrics and side-by-side comparisons.
