Similar to GPT-4o, which is capable of sensing and expressing emotions, the project was developed by the School of Computer Science at Fudan University
It is capable of sensing and expressing emotions, and provides multiple styles of voice responses based on context and human commands, such as rap, drama, robot, comedy and whisper.
More than 100,000 hours of academic and field-collected voice data cover a wealth of voice scenarios and styles.
SpeechGPT2 is a technical exploration with limited resources. Due to the limitations of computing and data resources, it still has some shortcomings in terms of noise robustness in speech understanding and sound quality stability in speech generation.
Demand group:
“SpeechGPT 2 is suitable for users who need advanced natural language processing capabilities, such as developers, researchers and businesses that want to improve the voice interactive experience. It can provide more humane and emotional voice interactions and improve the user experience. “
Example usage scenarios:
Developers can use SpeechGPT2 to develop applications with natural voice interaction capabilities.
Researchers can use this model to conduct research on speech recognition and generation.
Enterprises can integrate SpeechGPT2 to improve the interaction quality of their customer service systems.
Product features:
Feel and express emotions
Provides multiple styles of voice response such as rap, drama, robot, funny and whisper
Uses ultra-low bit-rate speech codec (750bps)
Multiple-Input Multiple-Output Language Model (MIMO-LM)
Generating one-second speech requires 25 autoregressive decoding steps
More than 100,000 hours of pre-training on academic and field voice data
High-quality voice data for multiple rounds of conversations
If you want to learn more, you can click on the link below the video.
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Github ：https://github.com/0nutation/SpeechGPT
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