Journal article
What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations
Psychological review, Vol.118(2), pp.219-246
04/2011
DOI: 10.1037/a0022325
PMCID: PMC3523696
PMID: 21417542
Abstract
Most theories of categorization emphasize how continuous perceptual information is mapped to categories. However, equally important are the informational assumptions of a model, the type of information subserving this mapping. This is crucial in speech perception where the signal is variable and context dependent. This study assessed the informational assumptions of several models of speech categorization, in particular, the number of cues that are the basis of categorization and whether these cues represent the input veridically or have undergone compensation. We collected a corpus of 2,880 fricative productions (Jongman, Wayland, & Wong, 2000) spanning many talker and vowel contexts and measured 24 cues for each. A subset was also presented to listeners in an 8AFC phoneme categorization task. We then trained a common classification model based on logistic regression to categorize the fricative from the cue values and manipulated the information in the training set to contrast (a) models based on a small number of invariant cues, (b) models using all cues without compensation, and (c) models in which cues underwent compensation for contextual factors. Compensation was modeled by computing cues relative to expectations (C-CuRE), a new approach to compensation that preserves fine-grained detail in the signal. Only the compensation model achieved a similar accuracy to listeners and showed the same effects of context. Thus, even simple categorization metrics can overcome the variability in speech when sufficient information is available and compensation schemes like C-CuRE are employed.
Details
- Title: Subtitle
- What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations
- Creators
- Bob McMurray - Department of Psychology, University of Iowa, Iowa City, IA 52240, USA. bob-mcmurray@uiowa.eduAllard Jongman
- Resource Type
- Journal article
- Publication Details
- Psychological review, Vol.118(2), pp.219-246
- DOI
- 10.1037/a0022325
- PMID
- 21417542
- PMCID
- PMC3523696
- NLM abbreviation
- Psychol Rev
- ISSN
- 0033-295X
- eISSN
- 1939-1471
- Publisher
- United States
- Grant note
- R01 DC008089 / NIDCD NIH HHS\nDC-02537 / NIDCD NIH HHS\nDC-008089 / NIDCD NIH HHS\nR01 DC008089-01A1 / NIDCD NIH HHS\nP50 DC000242 / NIDCD NIH HHS
- Language
- English
- Date published
- 04/2011
- Academic Unit
- Communication Sciences and Disorders; Linguistics; Psychological and Brain Sciences; Iowa Neuroscience Institute; Otolaryngology
- Record Identifier
- 9984070226802771
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