Title: Static and dynamic approaches to understanding vowel perception.
Abstract: The purpose of this paper is to provide a broad overview of work leading up to the current view that vowel inherent spectral change (VISC) plays a significant role in the recognition of vowel identity. Although seldom if ever explicitly stated, the view that implicitly guided vowel perception research for many years assumed that nearly all of the information needed to specify vowel identity was to be found in a cross section of the vowel spectrum sampled at a reasonably steady portion of the vowel. There is now a considerable body of evidence showing that VISC plays an important role in the recognition of vowel identity. Evidence comes from: (1) measurement studies showing that many nominally monophthongal English vowels show significant spectral change throughout the course of the vowel; (2) statistical pattern recognition studies showing that vowel categories are separated with far greater accuracy by models that take spectral change into account; and (3) perceptual experiments showing that vowel steady-states are neither necessary nor sufficient for conveying vowel identity. In spite of this evidence, a static view of vowel identity continues to be implicitly assumed in many studies of vowel quality. [Work supported by NIH.]
Publication Year: 2009
Publication Date: 2009-04-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 6
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot