Beijing, China

Min Liang

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 1.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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5 patents (USPTO):Explore Patents

Title: Min Liang: Innovator in Speech Processing Technologies

Introduction

Min Liang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of speech processing, holding a total of 5 patents. His work focuses on enhancing the performance of dual-microphone speech enhancement systems, which are crucial in various applications.

Latest Patents

Among his latest patents is a method and apparatus for determining speech presence probability. This innovation introduces a metric parameter of a signal-to-noise ratio and a signal power level difference between channels. The method involves normalization and non-linear transformation processing to obtain a robust speech presence probability, reducing the calculation amount and improving the system's performance. Another notable patent is a method and device for updating the coefficient vector of a finite impulse response filter. This method enhances the efficiency of FIR filters by utilizing an updated step-size diagonal matrix for coefficient vector adjustments.

Career Highlights

Min Liang has worked with esteemed organizations such as the China Academy of Telecommunications Technology and Datang Mobile Communications Equipment Co., Ltd. His experience in these institutions has allowed him to develop and refine his innovative ideas in telecommunications and signal processing.

Collaborations

Throughout his career, Min Liang has collaborated with talented individuals, including Fabing Wang and Xuan Zhou. These partnerships have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Min Liang's contributions to speech processing technologies demonstrate his innovative spirit and dedication to improving communication systems. His patents reflect a commitment to enhancing the robustness and efficiency of speech recognition applications.

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