Mountain View, CA, United States of America

Chao Zhang

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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3 patents (USPTO):

Title: Innovations by Chao Zhang in Speech Recognition Technology

Introduction

Chao Zhang is a prominent inventor based in Mountain View, California, known for his contributions to the field of speech recognition technology. With a total of two patents to his name, Zhang has made significant strides in enhancing natural conversational voice systems.

Latest Patents

Zhang's latest patents include "Disfluency detection models for natural conversational voice systems" and "Fusion of acoustic and text representations in RNN-T." The first patent outlines a method that involves receiving a sequence of acoustic frames characterizing utterances. It describes generating a higher order feature representation through an encoder network and a hidden representation via a prediction network. This process culminates in producing a probability distribution indicating pauses and ends of speech. The second patent details a speech recognition model that integrates an encoder network, a prediction network, and a joint network. This model is designed to generate a probability distribution over possible speech recognition hypotheses by fusing dense and higher order feature representations.

Career Highlights

Chao Zhang is currently employed at Google Inc., where he continues to innovate in the realm of speech recognition. His work focuses on improving the accuracy and efficiency of voice systems, making them more responsive to natural speech patterns.

Collaborations

Zhang collaborates with notable colleagues, including Bo Li and Shuo-Yiin Chang, who contribute to the development of advanced speech recognition technologies.

Conclusion

Chao Zhang's innovative work in speech recognition technology has the potential to transform how humans interact with machines. His patents reflect a deep understanding of both acoustic and textual data, paving the way for more intuitive voice systems.

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