Piscataway, NJ, United States of America

Xiaoyu Zhang


Average Co-Inventor Count = 2.8

ph-index = 5

Forward Citations = 444(Granted Patents)


Company Filing History:


Years Active: 1998-2004

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5 patents (USPTO):Explore Patents

Title: Innovations of Xiaoyu Zhang in Speaker Verification Technology

Introduction

Xiaoyu Zhang is a prominent inventor based in Piscataway, NJ (US), known for her significant contributions to the field of speaker verification technology. With a total of five patents to her name, she has developed innovative systems that enhance the accuracy and flexibility of voice print recognition.

Latest Patents

Among her latest patents is a subword-based speaker verification system that utilizes multiple-classifier fusion, along with channel, fusion, model, and threshold adaptation. This advanced voice print system allows for user-selectable passwords without constraints on vocabulary or language. The system employs automatic blind speech segmentation to segment speech into subword units, enabling effective verification without prior linguistic knowledge of the password. Additionally, subword modeling is achieved through multiple classifiers, and the system incorporates multiple classifier fusion and data resampling techniques to improve performance. Key word and key phrase spotting are utilized to optimally locate the password phrase, while various adaptation techniques enhance the system's flexibility.

Career Highlights

Xiaoyu Zhang has worked with notable companies such as T-Netix, Inc. and Lucent Technologies Inc. Her experience in these organizations has contributed to her expertise in developing cutting-edge technologies in speaker verification.

Collaborations

Some of her notable coworkers include Richard James Mammone and Manish Sharma, who have collaborated with her on various projects in the field.

Conclusion

Xiaoyu Zhang's innovative work in speaker verification technology showcases her expertise and commitment to advancing voice recognition systems. Her patents reflect a deep understanding of the complexities involved in automatic speaker verification, making her a key figure in this technological domain.

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