Kimi-Audio is an open source audio basic model that is good at audio understanding and generation.
Kimi-Audio is an advanced open source audio base model designed to handle a variety of audio processing tasks such as speech recognition and audio dialogue. The model is massively pre-trained on more than 13 million hours of diverse audio and text data, with powerful audio inference and language understanding capabilities. Its main advantages include excellent performance and flexibility, making it suitable for researchers and developers to conduct audio-related research and development.
Kimi-Audio is suitable for researchers, audio engineers, and developers who need a powerful and flexible audio processing tool that can support a variety of audio analysis and generation tasks. The open source nature of the model allows users to customize and extend it according to their own needs, and is suitable for audio-related scientific research and commercial applications.
Integrate Kimi-Audio into the voice assistant to improve its ability to understand the user's voice commands.
Leverage Kimi-Audio for automatic transcription of audio content and subtitles for podcasts and video content.
Implement audio-based emotion recognition through Kimi-Audio to enhance user interaction experience.
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