Recently, researchers at Fudan University have made a major breakthrough and successfully launched a new speech large-scale language model, SpeechGPT-Gen. The model has a parameter size of 8 billion and has excellent performance in the fields of text-to-speech, speech conversion, and voice dialogue. Its high efficiency comes from the innovative information chain generation method. This research sets a new milestone for the development of voice artificial intelligence technology and provides strong technical support for more intelligent applications in the future.
Webmaster Home reported that researchers at Fudan University launched SpeechGPT-Gen, an 8B parameter speech large-scale language model with high efficiency in semantic and perceptual information modeling. The model demonstrates excellent performance and scalability in multiple applications such as zero-shot text-to-speech, speech conversion, and voice dialogue. The Chain of Information Generation (CoIG) method is adopted to solve the inefficiency problem in traditional speech generation methods. In addition, the model uses semantic information as a priori in flow matching, which improves the efficiency and output quality of the model.
The emergence of the SpeechGPT-Gen model marks significant progress in speech artificial intelligence technology. Its high efficiency and scalability provide the possibility for more application scenarios in the future. It is worth looking forward to its further application and development in various fields. I believe that more surprising research results will emerge in the future.