Ran Xu

Title: The Innovations of Ran Xu

Introduction

Ran Xu is a notable inventor based in Jiangsu, China. He has made significant contributions to the field of speech conversion technology. His innovative work has led to the development of a unique patent that enhances the capabilities of speech processing systems.

Latest Patents

Ran Xu holds a patent for a "Pitch-based speech conversion model training method and speech conversion system." This patent outlines a method where an audio feature code is output by a priori encoder, and a pitch feature is extracted by a pitch extraction module. The process involves inputting a linear spectrum corresponding to the reference speech into the posteriori encoder to obtain an audio latent variable. Furthermore, the audio feature code, along with a speech concatenation feature obtained by concatenation of the audio feature code and the pitch feature, is input into a temporal alignment module to obtain a converted speech code. This code is then decoded by a decoder to produce converted speech. The training loss of the converted speech is calculated to determine the degree of convergence of the speech conversion model. This innovative approach has the potential to significantly improve speech conversion systems.

Career Highlights

Ran Xu is currently employed at Nanjing Silicon Intelligence Technology Co., Ltd. His work at this company focuses on advancing technologies related to speech processing and conversion. His expertise in this area has positioned him as a key player in the development of innovative solutions.

Collaborations

Ran Xu collaborates with Huapeng Sima, who is also involved in the field of speech technology. Their partnership has fostered a productive environment for innovation and development.

Conclusion

Ran Xu's contributions to speech conversion technology through his patent and work at Nanjing Silicon Intelligence Technology Co., Ltd. highlight his role as an influential inventor in the field. His innovative methods are paving the way for advancements in speech processing systems.