Redmond, WA, United States of America

Yan Huang


 

Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Yan Huang - Innovator in Speech Recognition Technology

Introduction

Yan Huang is a prominent inventor based in Redmond, WA (US). He has made significant contributions to the field of speech recognition technology. His innovative work focuses on generating and utilizing text-to-speech data to enhance speech recognition models.

Latest Patents

Yan Huang holds a patent for "Generating and using text-to-speech data for speech recognition models." This patent outlines systems, methods, and devices designed to improve speech recognition models through the use of text-to-speech (TTS) data. The main model is trained with keyword-independent baseline training data. In certain instances, the acoustic and language model sub-components of the main model are modified with new TTS training data. This new TTS training is often derived from a multi-speaker neural TTS system for keywords that are underrepresented in the baseline training data. Additionally, the new TTS training data is utilized for pronunciation learning and normalization of keyword-dependent confidence scores in keyword spotting (KWS) applications. It also aids in rapid speaker adaptation in speech recognition models.

Career Highlights

Yan Huang is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to explore and develop advanced technologies in the realm of speech recognition. His innovative approach has led to the creation of effective solutions that enhance user interaction with technology.

Collaborations

Yan collaborates with talented individuals such as Guoli Ye and Wenning Wei. Their combined expertise contributes to the advancement of speech recognition technologies and the development of innovative solutions.

Conclusion

Yan Huang's contributions to speech recognition technology through his patent and work at Microsoft highlight his role as an influential inventor in the field. His innovative methods for utilizing text-to-speech data are paving the way for improved speech recognition models.

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