Biing-Hwang Juang

Warren, NJ, United States of America

Biing-Hwang Juang

wikipedia


Average Co-Inventor Count = 2.1

ph-index = 11

Forward Citations = 1,260(Granted Patents)


Location History:

  • Lincroft, NJ (US) (1986 - 1997)
  • Warren Township, NJ (US) (2011)
  • Warren, NJ (US) (1996 - 2012)
  • Mableton, GA (US) (2012 - 2013)

Company Filing History:


Years Active: 1986-2013

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18 patents (USPTO):

Title: The Innovations of Biing-Hwang Juang: A Pioneer in Speech Recognition Technology

Introduction: Biing-Hwang Juang, an esteemed inventor located in Warren, NJ, holds an impressive portfolio of 18 patents. His groundbreaking work primarily focuses on improving speech recognition technologies, making significant strides in the field of auditory system modeling.

Latest Patents: Among his latest patents is one for "Automatic Pattern Recognition Using Category Dependent Feature Selection." This innovation discloses apparatus and methods utilizing a modified computational model of the human auditory system to facilitate automatic pattern recognition through category-dependent feature selection. The model's output is validated by deriving feature vectors from the dimension-expanded cortical response of the central auditory system, which can be adapted for conventional phoneme recognition tasks. Additionally, Juang's patent on the "Method and Apparatus for Speech Dereverberation Based on Probabilistic Models of Source and Room Acoustics" achieves speech dereverberation through likelihood maximization and Fourier Transform techniques. These patents represent a leap forward in accurately simulating human speech perception.

Career Highlights: Juang's career features significant tenures at renowned institutions. He has contributed to advancements in technology while working at Lucent Technologies Inc. and Georgia Tech Research Corporation. His innovative approaches have paved the way for new methodologies in the field of speech recognition.

Collaborations: Throughout his career, Juang has collaborated with esteemed colleagues, including Chin-Hui Lee and Wu Chou. Together, they have explored and developed novel methods that enhance the understanding and processing of auditory signals.

Conclusion: Biing-Hwang Juang's contributions to the field of speech recognition technology are profound and impactful. With his extensive patent portfolio and collaborative efforts, he continues to influence innovations in auditory system modeling and pattern recognition. His work not only advances technological capabilities but also enriches our understanding of human speech processing.

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