Beijing, China

Shu Fang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Innovations of Shu Fang in Speech Signal Processing

Introduction

Shu Fang is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of audio technology, particularly in speech signal processing. His innovative approach has led to the development of a unique method that enhances speech recognition capabilities.

Latest Patents

Shu Fang holds a patent for a "Speech signal processing method and related device thereof." This patent outlines a method that involves obtaining a user speech signal captured by a sensor. It also includes obtaining a corresponding vibration signal when a user generates speech, which indicates the vibration features of a body part that vibrates during sound-making behavior. The method aims to derive target speech information based on both the vibration signal and the user speech signal captured by the sensor. This innovative approach utilizes the vibration signal as a basis for improved speech recognition.

Career Highlights

Shu Fang is currently employed at Huawei Technologies Co., Limited, a leading global technology company. His work at Huawei has allowed him to focus on advancing audio technologies and enhancing user experiences through innovative solutions. His dedication to research and development has positioned him as a key player in the field.

Collaborations

Shu Fang collaborates with talented colleagues, including Libin Zhang and Hui Yang. Their combined expertise fosters a creative environment that drives innovation and leads to groundbreaking advancements in technology.

Conclusion

Shu Fang's contributions to speech signal processing exemplify the impact of innovative thinking in technology. His patent and work at Huawei Technologies Co., Limited highlight his commitment to enhancing audio technology and improving speech recognition methods.

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