An adaptive sampling procedure for speech perception experiments


Synthetic speech perception experiments may make use of several acoustic dimensions in order to adequately model listeners' perception; however, the number of stimuli increases exponentially as dimensions are added. A relatively large number of identification responses per stimulus are needed in the vicinity of category boundaries in order to model the boundaries with reasonable accuracy. Fewer responses per stimulus are needed to model portions of the stimulus space where a single response category predominates. Rather than collecting the same number of responses for each stimulus, an experiment can therefore be shortened via adaptive sampling. An adaptive sampling procedure is described. After an initial pass through the stimuli, the procedure uses a logistic regression model to select stimuli to resample in subsequent rounds. Results of simulations indicated that the number of trials in the experiment could be reduced by a third without substantially affecting the results.

Divisions: College of Business and Social Sciences > Aston Institute for Forensic Linguistics
College of Business and Social Sciences > School of Social Sciences & Humanities
Additional Information: © 2006 The Author
Event Title: INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
Event Type: Other
Event Dates: 2006-09-17 - 2006-09-21
Uncontrolled Keywords: Adaptive sampling,Speech perception,Computer Science(all)
ISBN: 9781604234497
Last Modified: 08 Apr 2024 07:37
Date Deposited: 15 Nov 2018 15:47
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2006
Authors: Morrison, Geoffrey Stewart (ORCID Profile 0000-0001-8608-8207)



Version: Accepted Version

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