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An Enhanced Channel Model for Spectrotemporal Integration and Masker Phase Effects

Oh, Yonghee
http://rave.ohiolink.edu/etdc/view?acc_num=osu1376929998

Abstract Details

2013, Doctor of Philosophy, Ohio State University, Speech and Hearing Science.
Model-based interpretation has always been a special feature of hearing research. Specifically, filter-based model approaches have been applied widely for understanding psychophysical phenomena. In this study, representative integration-based models, specifically focused on statistical properties of the auditory periphery were reviewed (e.g., the Multi-channel model). Then an enhanced channel model (Oh et al., 2012) was proposed by considering the limitations of previous channel models. These include the nonlinearity of cochlear mechanics and an optimum nonlinear detection criterion. Briefly, a single time frame of the model consists of three stages. In response to an input stimulus, the output of the nonlinear filterbank leads to a weight matrix which reflects signal correlation across frequency channels. Each channel is then degraded by both an internal noise representing noise in each channel, and a common noise related to interchannel correlation among the auditory channels. For optimal performance of the system, ideal central processing is approximated by a linear-quadratic detector. Finally, successive time-frame units are accumulated over time. Behavioral experiments were designed to evaluate the proposed model’s ability to predict threshold improvements in spectral and temporal integration studies. The experimental results of these integration studies showed that the improvement in threshold for each integration condition exhibit different detection patterns (i.e., a linear detection scheme for spectral integration; nonlinear asymptotic properties for temporal and spectrotemporal integration). Further, the addition of background noise to each experimental condition produced steeper integration patterns. The enhanced channel model was used to explain these integration effects using a single, unified model. In order to demonstrate model performance with more complex stimuli, temporally varying harmonic complex signals, proposed by Schroeder (1970), were used to account for phase effects in peripheral masking. The masking period patterns (MPPs) for the Schroeder-phase masker study showed that the spectrotemporal configuration of harmonic complex maskers influences masking effectiveness. The overall results indicated that the amount of masking depends on both masker and probe signal properties: signal levels, temporal synchrony, and primarily the harmonic components surrounding the frequency of the probe signal. Predictions by the enhanced channel model provide a very good approximation of listener detection performance in these Schroeder-phase masking experiments.
Lawrence Feth (Advisor)
Ashok Krishnamurthy (Committee Member)
Martin Golubitsky (Committee Member)
211 p.
Audiology; Electrical Engineering
Auditory signal processing; multi-channel model; psychoacoustics

Recommended Citations

Citations

  • Oh, Y. (2013). An Enhanced Channel Model for Spectrotemporal Integration and Masker Phase Effects [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376929998

    APA Style (7th edition)

  • Oh, Yonghee. An Enhanced Channel Model for Spectrotemporal Integration and Masker Phase Effects . 2013. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1376929998.

    MLA Style (8th edition)

  • Oh, Yonghee. "An Enhanced Channel Model for Spectrotemporal Integration and Masker Phase Effects ." Doctoral dissertation, Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376929998

    Chicago Manual of Style (17th edition)

osu1376929998
335
© 2013, some rights reserved.Creative Commons License An Enhanced Channel Model for Spectrotemporal Integration and Masker Phase Effects by Yonghee Oh is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.