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Journal of the Acoustical Society of America / Volume 122 / Issue 2 / PSYCHOLOGICAL ACOUSTICS [66]

Interaural fluctuations and the detection of interaural incoherence. III. Narrowband experiments and binaural models

J. Acoust. Soc. Am. Volume 122, Issue 2, pp. 1029-1045 (2007); (17 pages)

Matthew J. Goupell and William M. Hartmann

Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824

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In the first two articles of this series, reproducible noises with a fixed value of interaural coherence (0.992) were used to study the human ability to detect interaural incoherence. It was found that incoherence detection is strongly correlated with fluctuations in interaural differences, especially for narrow noise bandwidths, but it remained unclear what function of the fluctuations best agrees with detection data. In the present article, ten different binaural models were tested against detection data for 14- and 108-Hz bandwidths. These models included different types of binaural processing: independent-interaural-phase-difference/interaural-level-difference, lateral-position, and short-term cross-correlation. Several preprocessing transformations of the interaural differences were incorporated: compression of binaural cues, temporal averaging, and envelope weighting. For the 14-Hz bandwidth data, the most successful model postulated that incoherence is detected via fluctuations of interaural phase and interaural level processed by independent centers. That model correlated with detectability at r = 0.87. That model proved to be more successful than short-term cross-correlation models incorporating standard physiologically-based model features (r = 0.78). For the 108-Hz bandwidth data, detection performance varied much less among different waveforms, and the data were less able to distinguish between models.

© 2007 Acoustical Society of America

ACKNOWLEDGMENTS

We are grateful to Dr. H. S. Colburn, Dr. N. I. Durlach, Dr. A. Kohlrausch, Dr. S. van de Par, and Dr. C. Trahiotis for useful discussions about coherence. This work was supported in part by the National Institute on Deafness and Other Communicative Disorders, Grant No. DC00181.

Article Outline

  1. INTRODUCTION
  2. EXPERIMENT 1: 14-Hz BANDWIDTH
    1. Stimuli
    2. Procedure
    3. Listeners
    4. Results
  3. MODELS FOR INCOHERENCE DETECTION
    1. Model preprocessing assumptions
      1. Temporal averaging
      2. Compression of binaural cues
      3. Critical envelope value weighting
    2. Models for binaural combination
    3. Models compared with Experiment 1
      1. Comparison of model types
      2. Optimized parameters for model 1
        1. Integration time.
        2. Critical envelope weighting.
        3. Relative IPD-ILD contributions.
      3. Optimized parameters for other models
        1. Longer integration times.
        2. Order of operations.
        3. Lateral-position models.
        4. Short-term cross-correlation.
      4. The advantage of preprocessing
  4. EXPERIMENT 2: 108-Hz BANDWIDTH
    1. Method
    2. Results
      1. Comparison of model types
      2. Optimized parameters for model 4
      3. Optimized parameters for other models
        1. Longer integration times and order of operations.
        2. Lateral-position models.
        3. Auditory filtering.
      4. The advantage of preprocessing
  5. REPRODUCIBILITY
  6. SHORT-TERM CROSS-CORRELATION REVISITED
    1. Physiological transformations
      1. Auditory filtering
      2. Cochlear compression and rectification
      3. Temporal averaging
      4. Decision making
    2. Results and discussion
  7. GENERAL DISCUSSION
    1. Summary
    2. Binaural processing
  8. CONCLUSION

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KEYWORDS and PACS

Keywords

hearing, acoustic noise, acoustic signal detection

PACS

ARTICLE DATA

History
Received 17 Nov 2005
Accepted 30 Mar 2007
Revised 26 Mar 2007
Digital Object Identifier
http://dx.doi.org/10.1121/1.2734489

PUBLICATION DATA

ISSN

0001-4966 (print)  

Publisher

$abstract.society.value is a Member of CrossRef Acoustical Society of America

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