Medford, MA, United States of America

Xinwei Li

This inventor holds 2 USPTO granted patents. Top assignee: Nuance Communications, Inc.. Active years: 2019-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xinwei Li. Retrieved from https://idiyas.com/inventor/xinwei-li-sb9ar8mp

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2019-2021

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2 patents (USPTO):Explore Patents

Title: Innovations of Xinwei Li in Neural Network Acoustic Models

Introduction

Xinwei Li is an accomplished inventor based in Medford, MA (US). He has made significant contributions to the field of neural network acoustic models. With a total of 2 patents, his work focuses on enhancing automatic speech recognition technologies.

Latest Patents

Xinwei Li's latest patents include innovative techniques for adapting trained neural network acoustic models. These techniques involve using computer hardware processors to generate initial speaker information values and first speech content values from speech data. The process includes recognizing utterances through automatic speech recognition and updating speaker information values based on the processed data. This advancement aims to improve the accuracy and efficiency of speech recognition systems.

Career Highlights

Xinwei Li is currently employed at Nuance Communications, Inc., where he continues to develop cutting-edge technologies in speech recognition. His work has been instrumental in pushing the boundaries of what is possible in the field of artificial intelligence and machine learning.

Collaborations

Xinwei collaborates with Puming Zhan, a talented woman in the same field. Together, they work on projects that aim to enhance the capabilities of neural network models.

Conclusion

Xinwei Li's contributions to neural network acoustic models demonstrate his innovative spirit and commitment to advancing technology. His patents reflect a deep understanding of speech recognition systems and their potential for future applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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