Literature DB >> 28147568

Using electromagnetic articulography with a tongue lateral sensor to discriminate manner of articulation.

William F Katz1, Sonya Mehta1, Matthew Wood1, Jun Wang2.   

Abstract

This study examined the contributions of the tongue tip (TT), tongue body (TB), and tongue lateral (TL) sensors in the electromagnetic articulography (EMA) measurement of American English alveolar consonants. Thirteen adults produced /ɹ/, /l/, /z/, and /d/ in /ɑCɑ/ syllables while being recorded with an EMA system. According to statistical analysis of sensor movement and the results of a machine classification experiment, the TT sensor contributed most to consonant differences, followed by TB. The TL sensor played a complementary role, particularly for distinguishing /z/.

Mesh:

Year:  2017        PMID: 28147568      PMCID: PMC5724616          DOI: 10.1121/1.4973907

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


  7 in total

1.  Cinefluorographic study of selected allophones of English /1/.

Authors:  S B Giles; K L Moll
Journal:  Phonetica       Date:  1975       Impact factor: 1.759

Review 2.  A guide to analysing tongue motion from ultrasound images.

Authors:  Maureen Stone
Journal:  Clin Linguist Phon       Date:  2005 Sep-Nov       Impact factor: 1.346

3.  Toward articulatory-acoustic models for liquid approximants based on MRI and EPG data. Part II. The rhotics.

Authors:  A Alwan; S Narayanan; K Haker
Journal:  J Acoust Soc Am       Date:  1997-02       Impact factor: 1.840

4.  Toward articulatory-acoustic models for liquid approximants based on MRI and EPG data. Part I. The laterals.

Authors:  S S Narayanan; A A Alwan; K Haker
Journal:  J Acoust Soc Am       Date:  1997-02       Impact factor: 1.840

5.  Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy.

Authors:  Etienne Combrisson; Karim Jerbi
Journal:  J Neurosci Methods       Date:  2015-01-14       Impact factor: 2.390

6.  Generalizing DTW to the multi-dimensional case requires an adaptive approach.

Authors:  Mohammad Shokoohi-Yekta; Bing Hu; Hongxia Jin; Jun Wang; Eamonn Keogh
Journal:  Data Min Knowl Discov       Date:  2016-02-15       Impact factor: 3.670

7.  A magnetic resonance imaging-based articulatory and acoustic study of "retroflex" and "bunched" American English /r/.

Authors:  Xinhui Zhou; Carol Y Espy-Wilson; Suzanne Boyce; Mark Tiede; Christy Holland; Ann Choe
Journal:  J Acoust Soc Am       Date:  2008-06       Impact factor: 2.482

  7 in total
  2 in total

1.  Quantification of tongue mobility impairment using optical tracking in patients after receiving primary surgery or chemoradiation.

Authors:  K D R Kappert; M J A van Alphen; L E Smeele; A J M Balm; F van der Heijden
Journal:  PLoS One       Date:  2019-08-27       Impact factor: 3.240

2.  Multimodal dataset of real-time 2D and static 3D MRI of healthy French speakers.

Authors:  Karyna Isaieva; Yves Laprie; Justine Leclère; Ioannis K Douros; Jacques Felblinger; Pierre-André Vuissoz
Journal:  Sci Data       Date:  2021-10-01       Impact factor: 6.444

  2 in total

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