Etobicoke, Canada

Xinyu Ren

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xinyu Ren. Retrieved from https://idiyas.com/inventor/xinyu-ren-rxky6baa

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Xinyu Ren: Innovator in Automatic Speech Recognition

Introduction

Xinyu Ren is a notable inventor based in Etobicoke, Canada. He has made significant contributions to the field of automatic speech recognition (ASR). His innovative work focuses on enhancing the accuracy and efficiency of speech processing systems.

Latest Patents

Xinyu Ren holds a patent for an advanced automatic speech recognition system. This system incorporates contextual entity information when performing ASR using a neural network architecture. It identifies entities related to the context of an utterance. The system encodes text and pronunciation information related to those entities to determine biasing data. This data is then applied to encoded audio data. The resulting adjusted encoded audio data is processed by the existing neural network architecture to generate ASR data that represents a transcription of the utterance. He has 1 patent in this area.

Career Highlights

Xinyu Ren is currently employed at Amazon Technologies, Inc. His role involves developing cutting-edge technologies that improve user interaction through speech recognition. His work is pivotal in advancing the capabilities of ASR systems.

Collaborations

Xinyu collaborates with talented individuals such as Jing Liu and Qi Luo. Their combined expertise contributes to the innovative projects at Amazon Technologies, Inc.

Conclusion

Xinyu Ren's contributions to automatic speech recognition demonstrate his commitment to innovation in technology. His work continues to influence the development of more effective speech processing systems.

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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