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Mini-Omni

Open source multi-modal large-scale language model that supports real-time speech input and streaming audio output.

#Open source
#multimodal
#speech recognition
#speech synthesis
#streaming audio
Mini-Omni

Product Details

Mini-Omni is an open source multi-modal large-scale language model that can achieve real-time speech input and streaming audio output dialogue capabilities. It features real-time speech-to-speech dialogue without the need for additional ASR or TTS models. In addition, it can also perform speech output while thinking, supporting the simultaneous generation of text and audio. Mini-Omni further enhances performance with batch inference of 'Audio-to-Text' and 'Audio-to-Audio'.

Main Features

1
Real-time speech-to-speech conversation function without additional ASR or TTS models.
2
Think and speak at the same time, with the ability to generate text and audio simultaneously.
3
Supports streaming audio output capability.
4
Provides 'Audio-to-Text' and 'Audio-to-Audio' batch inference to improve performance.
5
Supports creating a new conda environment and installing required packages.
6
Quickly launch interactive demos from the command line.
7
Supports local testing, running preset audio samples and questions.

How to Use

1
Create a new conda environment and activate it.
2
Clone Mini-Omni's code base to your local computer via git.
3
Install the required Python packages.
4
Start the server and run the streamlit or gradient demo.
5
Conduct local testing, running preset audio samples and questions.

Target Users

Mini-Omni is suitable for developers, researchers and users interested in artificial intelligence multi-modal interaction technology. It provides developers with a powerful tool for building and testing applications with voice interaction capabilities.

Examples

Developers can use Mini-Omni to create a chatbot capable of real-time voice conversations.

Researchers can use Mini-Omni to conduct experiments and research on speech recognition and speech synthesis technologies.

Educational institutions can use Mini-Omni to develop language learning applications and provide real-time speech feedback.

Quick Access

Visit Website →

Categories

💼 productive forces
› AI model
› AI speech synthesis

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