Literature DB >> 27475131

Acoustic characteristics of clearly spoken English tense and lax vowels.

Keith K W Leung1, Allard Jongman2, Yue Wang1, Joan A Sereno2.   

Abstract

Clearly produced vowels exhibit longer duration and more extreme spectral properties than plain, conversational vowels. These features also characterize tense relative to lax vowels. This study explored the interaction of clear-speech and tensity effects by comparing clear and plain productions of three English tense-lax vowel pairs (/i-ɪ/, /ɑ-ʌ/, /u-ʊ/ in /kVd/ words). Both temporal and spectral acoustic features were examined, including vowel duration, vowel-to-word duration ratio, formant frequency, and dynamic spectral characteristics. Results revealed that the tense-lax vowel difference was generally enhanced in clear relative to plain speech, but clear-speech modifications for tense and lax vowels showed a trade-off in the use of temporal and spectral cues. While plain-to-clear vowel lengthening was greater for tense than lax vowels, clear-speech modifications in spectral change were larger for lax than tense vowels. Moreover, peripheral tense vowels showed more consistent clear-speech modifications in the temporal than spectral domain. Presumably, articulatory constraints limit the spectral variation of these extreme vowels, so clear-speech modifications resort to temporal features and reserve the primary spectral features for tensity contrasts. These findings suggest that clear-speech and tensity interactions involve compensatory modifications in different acoustic domains.

Mesh:

Year:  2016        PMID: 27475131     DOI: 10.1121/1.4954737

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

1.  Tongue- and Jaw-Specific Contributions to Acoustic Vowel Contrast Changes in the Diphthong /ai/ in Response to Slow, Loud, and Clear Speech.

Authors:  Antje S Mefferd
Journal:  J Speech Lang Hear Res       Date:  2017-11-09       Impact factor: 2.297

2.  Multi-Feature Intelligent Oral English Error Correction Based on Few-Shot Learning Technology.

Authors:  Fengxiang Zhang; Jieli Sun
Journal:  Comput Intell Neurosci       Date:  2022-06-23
  2 in total

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