🎵 music

Kimi-Audio

Kimi-Audio is an open source audio basic model that is good at audio understanding and generation.

#Open source
#deep learning
#speech recognition
#audio processing
#Model
Kimi-Audio

Product Details

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.

Main Features

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Multiple audio processing capabilities: supports speech recognition, audio question and answer, audio subtitle generation and other tasks.
2
Outstanding performance: Achieved SOTA results on multiple audio benchmarks.
3
Large-scale pre-training: Train on multiple types of audio and text data to enhance model understanding.
4
Innovative architecture: Uses hybrid audio input and LLM core to handle text and audio input simultaneously.
5
Efficient inference: Features a block-level streaming decoder based on stream matching, supporting low-latency audio generation.
6
Open source community support: Provides code, model checkpoints, and a comprehensive evaluation toolkit to promote community research and development.
7
User-friendly interface: It simplifies the process of using the model and makes it easier for users to get started.
8
Flexible parameter settings: Allow users to adjust audio and text generation parameters according to needs.

How to Use

1
1. Download the Kimi-Audio model and code from the GitHub page.
2
2. Install the required dependent libraries and ensure that the environment settings are correct.
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3. Load the model and set sampling parameters.
4
4. Prepare audio input or dialogue information.
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5. Call the model’s generation interface and pass in the prepared messages and parameters.
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6. Process the model output and obtain text or audio results.
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7. Adjust parameters as needed to optimize model performance.

Target Users

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.

Examples

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.

Quick Access

Visit Website →

Categories

🎵 music
› Model training and deployment
› speech recognition

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