Literature DB >> 10923897

Acoustic modeling of American English /r/.

C Y Espy-Wilson1, S E Boyce, M Jackson, S Narayanan, A Alwan.   

Abstract

Recent advances in physiological data collection methods have made it possible to test the accuracy of predictions against speaker-specific vocal tracts and acoustic patterns. Vocal tract dimensions for /r/ derived via magnetic-resonance imaging (MRI) for two speakers of American English [Alwan, Narayanan, and Haker, J. Acoust. Soc. Am. 101, 1078-1089 (1997)] were used to construct models of the acoustics of /r/. Because previous models have not sufficiently accounted for the very low F3 characteristic of /r/, the aim was to match formant frequencies predicted by the models to the full range of formant frequency values produced by the speakers in recordings of real words containing /r/. In one set of experiments, area functions derived from MRI data were used to argue that the Perturbation Theory of tube acoustics cannot adequately account for /r/, primarily because predicted locations did not match speakers' actual constriction locations. Different models of the acoustics of /r/ were tested using the Maeda computer simulation program [Maeda, Speech Commun. 1, 199-299 (1982)]; the supralingual vocal-tract dimensions reported in Alwan et al. were found to be adequate at predicting only the highest of attested F3 values. By using (1) a recently developed adaptation of the Maeda model that incorporates the sublingual space as a side branch from the front cavity, and by including (2) the sublingual space as an increment to the dimensions of the front cavity, the mid-to-low values of the speakers' F3 range were matched. Finally, a simple tube model with dimensions derived from MRI data was developed to account for cavity affiliations. This confirmed F3 as a front cavity resonance, and variations in F1, F2, and F4 as arising from mid- and back-cavity geometries. Possible trading relations for F3 lowering based on different acoustic mechanisms for extending the front cavity are also proposed.

Entities:  

Mesh:

Year:  2000        PMID: 10923897     DOI: 10.1121/1.429469

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


  25 in total

1.  Development of [j] in young, midwestern, American children.

Authors:  Richard S McGowan; Susan Nittrouer; Carol J Manning
Journal:  J Acoust Soc Am       Date:  2004-02       Impact factor: 1.840

2.  Individual talker differences in voice-onset-time: contextual influences.

Authors:  Rachel M Theodore; Joanne L Miller; David DeSteno
Journal:  J Acoust Soc Am       Date:  2009-06       Impact factor: 1.840

3.  The developmental trajectory of children's perception and production of English /r/-/l/.

Authors:  Kaori Idemaru; Lori L Holt
Journal:  J Acoust Soc Am       Date:  2013-06       Impact factor: 1.840

4.  The role of vowel perceptual cues in compensatory responses to perturbations of speech auditory feedback.

Authors:  Kevin J Reilly; Kathleen E Dougherty
Journal:  J Acoust Soc Am       Date:  2013-08       Impact factor: 1.840

5.  Acquiring rhoticity across languages: An ultrasound study of differentiating tongue movements.

Authors:  Suzanne E Boyce; Sarah M Hamilton; Ahmed Rivera-Campos
Journal:  Clin Linguist Phon       Date:  2016-02-25       Impact factor: 1.346

6.  Modelling category goodness judgments in children with residual sound errors.

Authors:  Sarah Hamilton Dugan; Noah Silbert; Tara McAllister; Jonathan L Preston; Carolyn Sotto; Suzanne E Boyce
Journal:  Clin Linguist Phon       Date:  2018-05-24       Impact factor: 1.346

7.  Remediating Residual Rhotic Errors With Traditional and Ultrasound-Enhanced Treatment: A Single-Case Experimental Study.

Authors:  Jonathan L Preston; Tara McAllister; Emily Phillips; Suzanne Boyce; Mark Tiede; Jackie Sihyun Kim; Douglas H Whalen
Journal:  Am J Speech Lang Pathol       Date:  2019-06-06       Impact factor: 2.408

8.  Deriving individualised /r/ targets from the acoustics of children's non-rhotic vowels.

Authors:  Heather Campbell; Tara McAllister Byun
Journal:  Clin Linguist Phon       Date:  2017-07-13       Impact factor: 1.346

9.  Variability in individual constriction contributions to third formant values in American English /ɹ/.

Authors:  Sarah Harper; Louis Goldstein; Shrikanth Narayanan
Journal:  J Acoust Soc Am       Date:  2020-06       Impact factor: 1.840

10.  Retrieving Tract Variables From Acoustics: A Comparison of Different Machine Learning Strategies.

Authors:  Vikramjit Mitra; Hosung Nam; Carol Y Espy-Wilson; Elliot Saltzman; Louis Goldstein
Journal:  IEEE J Sel Top Signal Process       Date:  2010-09-13       Impact factor: 6.856

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.