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Speech perception as pattern recognition

Authors: T M, Nearey;

Speech perception as pattern recognition

Abstract

This work provides theoretical and empirical arguments in favor of an approach to phonetics that is called double-weak. It is so called because it assumes relatively weak constraints both on the articulatory gestures and on the auditory patterns that map phonological elements. This approach views speech production and perception as distinct but cooperative systems. Like the motor theory of speech perception, double-weak theory accepts that phonological units are modified by context in ways that are important to perception. It further agrees that many aspects of such context dependency have their origin in natural articulatory processes. However, double-weak theory sides with proponents of auditory theories of phonetics by accepting that the real-time objects of perception are well-defined auditory patterns. Because speakers find ways to obey “orderly output conditions” (Sussman et al., 1995), listeners are able to successfully decode speech using relatively simple pattern-recognition mechanisms. It is suggested that this situation has arisen through a stylization of gestural patterns to accommodate real-time limits of the perceptual system. Results from a new perceptual experiment, involving a four-dimensional stimulus continuum and a 10-category /hVC/ response set, are shown to be largely compatible with this framework.

Related Organizations
Keywords

Sound Spectrography, Phonetics, Speech Discrimination Tests, Speech Perception, Humans, Attention, Speech Acoustics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
104
Top 10%
Top 10%
Average
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