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D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
6092
World Ranking
7360
National Ranking
2011

Overview

James M. Kates is affiliated with the University of Colorado Boulder in the United States. Their research spans fields primarily in Neuroscience and Computer Science, with a focus on subfields such as Cognitive Neuroscience, Signal Processing, Speech and Hearing, Biomedical Engineering, and Experimental and Cognitive Psychology.

Their research work addresses a range of topics including Hearing Loss and Rehabilitation, Speech and Audio Processing, Noise Effects and Management, Acoustic Wave Phenomena Research, Multisensory Perception and Integration, and Ultrasonics and Acoustic Wave Propagation.

Recent papers by James M. Kates include the following:

  • The Hearing-Aid Speech Perception Index (HASPI) Version 2, 2020, Speech Communication
  • An overview of the HASPI and HASQI metrics for predicting speech intelligibility and speech quality for normal hearing, hearing loss, and hearing aids, 2022, Hearing Research
  • Adding air absorption to simulated room acoustic models, 2020, The Journal of the Acoustical Society of America
  • A comparison of speech intelligibility and subjective quality with hearing-aid processing in older adults with hearing loss, 2021, International Journal of Audiology
  • Extending the Hearing-Aid Speech Perception Index (HASPI): Keywords, sentences, and context, 2023, The Journal of the Acoustical Society of America

Frequent coauthors who have collaborated with James M. Kates include:

  • Kathryn H. Arehart
  • Emily Lundberg
  • Ramesh Kumar Muralimanohar
  • Varsha H. Rallapalli
  • Pamela E. Souza

Publications by James M. Kates appear in several venues, with notable frequency in:

  • The Journal of the Acoustical Society of America
  • Speech Communication
  • Hearing Research
  • International Journal of Audiology
  • Journal of Speech Language and Hearing Research

Best Publications

  • Coherence and the speech intelligibility index

    James M. Kates;Kathryn H. Arehart

  • Feedback cancellation improvements

    James Mitchell Kates;John Laurence Melanson

  • Digital wireless loudspeaker system

    Eric Lindemann;John Laurence Melanson;Jason Lee Carlson;James Mitchell Kates

  • Apparatus and methods for combining audio compression and feedback cancellation in a hearing aid

    James Mitchell Kates;John Laurence Melanson

  • Feedback cancellation apparatus and methods

    James Mitchell Kates

  • Speech intelligibility enhancement

    James M. Kates

  • The Hearing-Aid Speech Perception Index (HASPI)

    James M. Kates;Kathryn Hoberg Arehart

  • Working memory, age, and hearing loss: susceptibility to hearing aid distortion.

    Kathryn H. Arehart;Pamela Souza;Rosalinda Baca;James M. Kates

  • Feedback cancellation in hearing aids: results from a computer simulation

    J.M. Kates

  • Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices: Advantages and limitations of existing tools

    Tiago H. Falk;Vijay Parsa;Joao F Santos;Kathryn Arehart

  • Feedback cancellation apparatus and methods utilizing adaptive reference filter mechanisms

    James Mitchell Kates;John Laurence Melanson

  • Principles of digital dynamic-range compression.

    James M. Kates

  • The Hearing-Aid Speech Quality Index (HASQI)

    James M. Kates;Kathryn H. Arehart

  • A time-domain digital cochlear model

    J.M. Kates

  • Apparatus and methods for hearing aid performance measurement, fitting, and initialization

    James Mitchell Kates

  • A comparison of hearing-aid array processing techniques.

    James M. Kates;Mark R. Weiss

  • Hearing aid signal-processing system

    James M. Kates

  • Constrained adaptation for feedback cancellation in hearing aids.

    James M. Kates

  • The Hearing-Aid Speech Quality Index (HASQI) Version 2

    James M. Kates;Kathryn H. Arehart

  • Superdirective arrays for hearing aids

    J.M. Kates

  • Feedback cancellation in a hearing aid with reduced sensitivity to low-frequency tonal inputs

    James M. Kates

  • Classification of background noises for hearing‐aid applications

    James M. Kates

  • On using coherence to measure distortion in hearing aids.

    James M. Kates

Frequent Co-Authors

John L. Melanson
John L. Melanson Cirrus Logic (United States)
Bhaskar D. Rao
Bhaskar D. Rao University of California, San Diego
Tiago H. Falk
Tiago H. Falk Institut National de la Recherche Scientifique
Tom Heskes
Tom Heskes Radboud University

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