Sunnyvale, CA, United States of America

Xin Lei

USPTO Granted Patents = 15 


Average Co-Inventor Count = 2.3

ph-index = 10

Forward Citations = 802(Granted Patents)


Location History:

  • Mountain View, CA (US) (2013 - 2015)
  • Sunnyvale, CA (US) (2013 - 2019)

Company Filing History:


Years Active: 2013-2019

Loading Chart...
Loading Chart...
15 patents (USPTO):

Title: Innovations by Inventor Xin Lei

Introduction

Xin Lei is a prominent inventor based in Sunnyvale, California, known for his significant contributions to the field of speech recognition technology. With a total of 15 patents to his name, Lei has made remarkable advancements that enhance user interaction with speech recognition systems.

Latest Patents

Among his latest patents is a method for speech recognition parameter adjustment. This innovation involves receiving audio data that encodes a user's utterance and determining that the user is classified as a novice. A specific speech recognizer setting is then selected, which differs from the default setting, resulting in improved accuracy for novice users. Another notable patent focuses on data-driven word pronunciation learning and scoring through crowd sourcing. This method includes obtaining audio samples and candidate pronunciations, generating scores based on phoneme similarity, and aggregating these scores to enhance pronunciation lexicons.

Career Highlights

Xin Lei has established a successful career at Google Inc., where he has been instrumental in developing cutting-edge technologies that improve speech recognition systems. His work has not only advanced the field but has also made technology more accessible to novice users.

Collaborations

Lei collaborates with talented individuals such as Petar Aleksic and Patrick An Nguyen, contributing to a dynamic team environment that fosters innovation and creativity.

Conclusion

Xin Lei's contributions to speech recognition technology exemplify the impact of innovative thinking in enhancing user experiences. His patents reflect a commitment to improving technology for all users, particularly those who are new to speech recognition systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…