Fairfax, VA, United States of America

Rahul Pandey

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rahul Pandey. Retrieved from https://idiyas.com/inventor/rahul-pandey-vjc0mcdh

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: Innovations of Rahul Pandey in Automatic Speech Recognition

Introduction

Rahul Pandey is an accomplished inventor based in Fairfax, VA (US). 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

Rahul holds 1 patent for a groundbreaking system that incorporates contextual entity information when performing ASR using a neural network architecture. This system identifies entities related to the context of an utterance. It encodes text and pronunciation information related to those entities to determine biasing data applied to encoded audio data. The adjusted encoded audio data is then processed by the existing neural network architecture to generate ASR data representing a transcription of the utterance.

Career Highlights

Rahul is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of speech recognition technology. His work has the potential to significantly improve user interactions with voice-activated systems.

Collaborations

Rahul collaborates with talented coworkers, including Jing Liu and Qi Luo, who contribute to the advancement of their projects and innovations.

Conclusion

Rahul Pandey's contributions to automatic speech recognition demonstrate his expertise and commitment to innovation in technology. His work is paving the way for more intuitive and 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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