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Kimi-Audio is an efficient open source base model for solving multimodal audio processing tasks

2025-08-24 1.5 K

Kimi-Audio's Core Technical Value

Developed by the Moonshot AI team, Kimi-Audio is an open-source base model pre-trained on 13 million hours of audio data, and is innovative in three ways: firstly, it is designed with a hybrid architecture that incorporates the joint training capabilities of speech recognition, generation, and dialog; secondly, it performs well in a number of benchmarks, proving its technological sophistication; and lastly, it provides complete toolchain support, including model weights, inference code, and a standardized evaluation suite. The model is particularly good at handling cross-modal tasks, such as simultaneous speech-to-text and sentiment analysis, and this multitasking capability gives it an outstanding advantage in industrial-grade applications.

Typical Application Scenarios

  • Realization of end-to-end voice dialog system in intelligent customer service scenarios
  • Pronunciation training and generation of teaching materials in the field of educational aids.
  • Automated subtitle generation and speech synthesis for content creation sessions

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