Yokohama, Japan

Takashi Fukuda

This inventor holds 101 USPTO granted patents and 14 published patent applications, plus 1 CIPO patent and 7 EPO patents, primarily in Neural Network Technology (CPC class G10L15-063). Top assignees: International Business Machines Corporation, Fujitsu Corporation, Kabushiki Kaisha Toshiba. Active years: 1980-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Takashi Fukuda. Retrieved from https://idiyas.com/inventor/takashi-fukuda

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 101 

% Patents Active = 52.5

 

 

Average Co-Inventor Count = 2.4

ph-index = 9

Forward Citations = 345(Granted Patents)

Forward Citations (Not Self Cited) = 321(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Kitakyushu, JP (1986 - 1987)
  • Kobe, JP (1980 - 1996)
  • Saitama, JP (2006 - 2011)
  • Ome, JP (2011)
  • Oyama, JP (2011)
  • Osaka, JP (2002 - 2013)
  • Kanagawa, JP (2002 - 2014)
  • Fukaya, JP (2012 - 2014)
  • Machida, JP (2015 - 2019)
  • Kawasaki, JP (1996 - 2020)
  • Nerima-ku, JP (2020)
  • Kanagawa-ken, JP (2009 - 2023)
  • Yokohama, JP (2009 - 2023)
  • Tokyo, JP (1988 - 2024)
  • Nerima, JP (2024)

Company Filing History:


Years Active: 1980-2026

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Areas of Expertise:
Knowledge Distillation
Data Augmentation
Speech Recognition
Neural Networks
Acoustic Models
RNN-T Models
Document Ranking
Voice Activity Detection
Signal Detection
Text Mining
Parameter Decomposition
Clustering
101 patents (USPTO):Explore Patents

Title: The Innovative Mind of Takashi Fukuda

Introduction

Takashi Fukuda, an esteemed inventor located in Yokohama, Japan, has made significant contributions to technology through his extensive portfolio of 72 patents. His innovative spirit and dedication to research have led to advancements in fields such as automatic speech recognition and audio data processing.

Latest Patents

Fukuda's latest patents demonstrate his expertise in enhancing speech detection technologies. One of his recent innovations, "Voice Activity Detection Integration to Improve Automatic Speech Detection," outlines systems, computer-implemented methods, and computer program products designed to facilitate the multi-task training of a recurrent neural network transducer (RNN-T) using automatic speech recognition (ASR) information. This inventive approach involves a memory that stores executable components, with a processor executing these components, incorporating a VAD model that trains the RNN-T using ASR data. The integration of encoder outputs with a joint network and VAD model outputs signifies a notable advancement in the field.

Additionally, Fukuda has developed methods for "Acoustic Data Augmentation with Mixed Normalization Factors." This innovation provides a method, computer system, and program product for augmenting audio data. It involves obtaining sets of audio data from various sources, calculating respective normalization factors, and mixing them to create a mixed normalization factor, which is then utilized for training acoustic models.

Career Highlights

Fukuda's professional journey includes significant roles at renowned companies such as IBM and Kabushiki Kaisha Toshiba. His work at these establishments has allowed him to push the boundaries of technology and innovation.

Collaborations

Throughout his career, Fukuda has collaborated with a number of talented individuals, including Osamu Ichikawa and Toshifumi Yamamoto. These collaborations have contributed to his success in developing cutting-edge technologies and solutions.

Conclusion

In summary, Takashi Fukuda’s impressive portfolio of patents and his contributions to research in the fields of speech detection and audio data processing highlight his status as a leading inventor in contemporary technology. His work continues to inspire the next generation of innovators and researchers, paving the way for future advancements.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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