San Jose, CA, United States of America

Kenichi Kumatani


Average Co-Inventor Count = 5.4

ph-index = 4

Forward Citations = 109(Granted Patents)


Location History:

  • Seattle, WA (US) (2020)
  • San Jose, CA (US) (2020 - 2024)

Company Filing History:


Years Active: 2020-2025

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8 patents (USPTO):

Title: Kenichi Kumatani: Innovator in Speech Processing Technologies

Introduction

Kenichi Kumatani is a prominent inventor based in San Jose, California. He has made significant contributions to the field of speech processing, holding a total of eight patents. His work focuses on optimizing speech recognition technologies through innovative methods involving microphone arrays.

Latest Patents

One of Kenichi Kumatani's latest patents involves speech processing optimizations based on microphone array configurations. This patent discloses systems and methods for utilizing microphone array information for acoustic modeling. Audio data is received from devices equipped with microphone arrays, and configuration data indicating the microphone array's setup is also collected. This configuration data serves as an input vector to an acoustic model, alongside the audio data, to generate phoneme data. Furthermore, the microphone configuration data can be used to train and generate acoustic models, select appropriate models for speech recognition, and enhance trigger sound detection.

Career Highlights

Kenichi Kumatani is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge technologies in speech processing. His expertise in this area has led to advancements that improve the accuracy and efficiency of speech recognition systems.

Collaborations

Throughout his career, Kenichi has collaborated with notable colleagues, including Minhua Wu and Shiva Kumar Sundaram. These partnerships have fostered innovation and contributed to the development of new technologies in the field.

Conclusion

Kenichi Kumatani is a key figure in the realm of speech processing innovations. His patents and work at Amazon Technologies, Inc. reflect his commitment to advancing technology in this critical area. His contributions continue to shape the future of speech recognition systems.

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