Mountain View, CA, United States of America

Vince Chen

USPTO Granted Patents = 1 

Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):

Title: Vince Chen: Innovator in Multilingual Speech Recognition Technology

Introduction

Vince Chen is a prominent inventor based in Mountain View, California. He has made significant contributions to the field of automated speech recognition (ASR) technology. His innovative work focuses on creating systems that can understand and process multiple languages seamlessly.

Latest Patents

Vince Chen holds a patent for a "Language agnostic multilingual end-to-end streaming on-device ASR system." This method involves receiving a sequence of acoustic frames that characterize one or more utterances as input to a multilingual ASR model. The process includes generating a higher-order feature representation for the corresponding acoustic frames and creating a hidden representation based on a sequence of non-blank symbols output by a final softmax layer. Additionally, it generates a probability distribution over possible speech recognition hypotheses and predicts an end of utterance (EOU) token at the end of each utterance. The method also classifies each acoustic frame as either speech, initial silence, intermediate silence, or final silence.

Career Highlights

Vince Chen is currently employed at Google Inc., where he continues to develop cutting-edge technologies in speech recognition. His work has been instrumental in advancing the capabilities of ASR systems, making them more efficient and effective in understanding diverse languages.

Collaborations

Vince collaborates with notable colleagues such as Bo Li and Tara N Sainath. Their combined expertise contributes to the innovative projects at Google Inc., enhancing the development of multilingual ASR technologies.

Conclusion

Vince Chen's contributions to the field of automated speech recognition exemplify the impact of innovation in technology. His work not only advances the capabilities of ASR systems but also paves the way for more inclusive communication across languages.

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