Auditory model comparison and optimization using dynamic time warping
Sturgeon, Brantly
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https://hdl.handle.net/2142/49471
Description
Title
Auditory model comparison and optimization using dynamic time warping
Author(s)
Sturgeon, Brantly
Issue Date
2014-05-30T16:45:56Z
Director of Research (if dissertation) or Advisor (if thesis)
Jones, Douglas L.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
auditory modeling
optimization
model comparison
dynamic time warping
Gradient Descent
Abstract
Auditory transduction modeling efforts have relied on detailed metrics such as phase-locking, adaptation time, and spike timings. A technique allowing summary comparison of auditory models is missing from the current body of research. We introduce a new technique based on the dynamic time warping algorithm as a distance metric. This technique is also applied in conjunction with a simple finite-difference gradient descent technique to generate better model parameters. These improved parameters reduce error due to poor parameter estimation and allow for a clearer evaluation of the underlying mechanics of a model. We evaluate this technique beginning with a simple model and ending with a cochlear model that exhibits three major transduction phenomena: frequency selectivity, compression, and a limited set of inner hair cell dynamics. We apply these techniques to related work and seek to identify the model that best describes the transduction of both naturally produced and spectrally reduced synthetic stop consonants. We produce and compare optimized models that harness the aforementioned major phenomena. Additionally, we find that the comparison technique predicts that incremental modeling of auditory phenomena will simulate more accurate neural ensembles. Results from this work show that the tested phenomena are crucial to cochlear modeling, but that a significant performance gap exists between the examined models and the natural auditory transduction process.
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