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README.md
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1. **Data Source**: We used the [VoiceAssistant-400K](https://huggingface.co/datasets/gpt-omni/VoiceAssistant-400K) from Mini-Omni, which contains about 470K instances.
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2. **Data Filtering**: We removed samples with excessively long data. The resulted corpus contains 430K instances.
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3. **Response Speech**: We perform speech synthesis using [CosyVoice](https://github.com/FunAudioLLM/CosyVoice)
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4. **Response Token**: We generate the speech token using [CosyVoice2](https://github.com/FunAudioLLM/CosyVoice).
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## Acknowledgment
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1. The original data is from [Mini-Omni](https://github.com/gpt-omni/mini-omni).
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2. The generation of speech wave and token is from [CosyVoice](https://github.com/gpt-omni/mini-omni).
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1. **Data Source**: We used the [VoiceAssistant-400K](https://huggingface.co/datasets/gpt-omni/VoiceAssistant-400K) from Mini-Omni, which contains about 470K instances.
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2. **Data Filtering**: We removed samples with excessively long data. The resulted corpus contains 430K instances.
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3. **Response Speech**: We perform speech synthesis using [CosyVoice](https://github.com/FunAudioLLM/CosyVoice) to generate the response speech.
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4. **Response Token**: We generate the speech token using [CosyVoice2](https://github.com/FunAudioLLM/CosyVoice).
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## Acknowledgment
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1. The original data is from [Mini-Omni](https://github.com/gpt-omni/mini-omni).
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2. The generation of speech wave and token is from [CosyVoice/CosyVoice2](https://github.com/gpt-omni/mini-omni).
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