Cambridge, MA, United States of America

Aaron Lee Mathers Challenner


Average Co-Inventor Count = 3.3

ph-index = 4

Forward Citations = 465(Granted Patents)


Company Filing History:


Years Active: 2017-2022

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5 patents (USPTO):

Title: Innovations of Aaron Lee Mathers Challenner

Introduction

Aaron Lee Mathers Challenner is a notable inventor based in Cambridge, MA. He has made significant contributions to the field of automatic speech recognition, holding a total of five patents. His work focuses on generating intent-specific results that enhance user interaction with speech recognition systems.

Latest Patents

One of his latest patents is titled "Intent-specific automatic speech recognition result generation." This patent discloses features for generating intent-specific results in an automatic speech recognition system. The results can be generated by utilizing a decoding graph containing tags that identify portions of the graph corresponding to a given intent. The tags can also identify high-information content slots and low-information carrier phrases for a given intent. The automatic speech recognition system may utilize these tags to provide a semantic representation based on a plurality of different tokens for the content slot portions and low information for the carrier portions. A user can be presented with a user interface containing top intent results with corresponding intent-specific top content slot values.

Career Highlights

Aaron is currently employed at Amazon Technologies, Inc., where he continues to innovate in the field of speech recognition technology. His work has been instrumental in advancing the capabilities of automatic speech recognition systems.

Collaborations

He has collaborated with notable coworkers such as Hugh Evan Secker-Walker and Ariya Rastrow, contributing to a dynamic and innovative work environment.

Conclusion

Aaron Lee Mathers Challenner's contributions to automatic speech recognition technology demonstrate his commitment to innovation and excellence in his field. His patents reflect a deep understanding of user needs and technological possibilities.

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