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Wizard-of-Oz test of ARTUR: a computer-based speech training system with articulation correction

Published: 09 October 2005 Publication History

Abstract

This study has been performed in order to test the human-machine interface of a computer-based speech training aid named ARTUR with the main feature that it can give suggestions on how to improve articulation. Two user groups were involved: three children aged 9-14 with extensive experience of speech training, and three children aged 6. All children had general language disorders.The study indicates that the present interface is usable without prior training or instructions, even for the younger children, although it needs some improvement to fit illiterate children. The granularity of the mesh that classifies mispronunciations was satisfactory, but can be developed further.

References

[1]
Ahlberg, J. Model-based Coding - Extraction, Coding and Evaluation of Face Model Parameters, PhD Thesis 2002, LinkÖping University, Sweden.
[2]
Adams, F.R., Crepy, H., Jameson, D., and Thatcher, J. IBM products for persons with disabilities Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond'. GLOBECOM '89, IEEE, 27-30 Nov. 1989, Vol. 2, 980 -- 984
[3]
Barker, J. & Berthommier, F. Evidence of correlation between acoustic and visual features of speech, Proc. of the Int. Congress of Phonetical Sciences 1999, pp. 199--202.
[4]
Beskow, J. Talking Heads - Models and Applications for Multimodal Speech Synthesis, 2003, Ph.D. Thesis, KTH, Sweden. ISBN 91-7283-536-2.
[5]
Bunnell, H.T. Yarrington, D.M. & Polikoff, J.B. STAR: articulation training for young children, In: Int. Conference on Spoken Language Processing 2000, Vol.4, pp. 85--88.
[6]
De la Torre, F. & Black, M.J. Robust parameterized component analysis: applications to 2D facial modeling, Proceedings of the sixth European Conference on Computer Vision 2002, pp 653--669.
[7]
Engwall, O. Combining MRI, EMA and EPG measurements in a three-dimensional tongue model, Speech Comm., 2003, Vol. 41 (2-3), pp. 303--329.
[8]
Engwall, O. Introducing visual cues in acoustic-to-articulatory inversion (submitted).
[9]
Engwall, O. Wik, P., Beskow, J., and GranstrÖm B. Design strategies for a virtual language tutor, In: Int. Conference on Spoken Language Processing 2004, Vol. III, pp. 1693--1696.
[10]
Erber N.P. Visual perception of speech by deaf children: recent developments and continuing needs, Journal of Speech and Hearing Disorders, 1974, Vol. 39:2, pp. 178--185.
[11]
Eriksson E., Bälter O., Engwall O, Öster A-M and KjellstrÖm H. Design Recommendations for a Computer-Based Speech Training System Based on End-User Interviews. To be published in proceedings of SPECOM 2005.
[12]
IPA, International Phonetic Alphabet. URL: http://www2.arts.gla.ac.uk/IPA/index.html Last retrieved July 28 2005.
[13]
Kroos, C., Kuratate, T. & Vatikiotis-Bateson, E., Listen to the face - measuring the face kinematics of speech from video sequences. Proceedings of the 5th Int. Seminar on Speech Production, pp. 341--344.
[14]
Markides, A. Lipreading: Theory and practice, Journal of Brittish Association of Teachers of the Deaf, 1989, Vol. 13:2, pp. 29--47.
[15]
Massaro, D.W. and Light, J. Using Visible Speech to Train Perception and Production of Speech for Individuals With Hearing Loss, Journal of Speech, Language and Hearing Research, Vol. 47, April 2004, pp. 304--320
[16]
Neti C, Potamianos G, Luettin J, Matthews I, Glotin H, Vergyri D, Sison J, Mashari A, and Zhou J. Audio-visual speech recognition, Final Report from Workshop 2000 Audio-Visual Speech Recognition.
[17]
OLP, (2003) OLP Home. URL: http://www.xanthi.ilsp.gr/olp/default.htm Last retrieved: Nov. 24 2004
[18]
Öster, A-M. (1996) "Clinical applications of computer-based speech training for children with hearing-impairment". Proceedings of ICSLP-96, 4th Int. Conference on Spoken Language Processing, Philadelphia, USA, Oct 1996; pp. 157--160.
[19]
Öster, A-M. House D., Green P., Testing a new method for training fricatives using visual maps in the Ortho-Logo-Pedia project (OLP), Phonum 9, Fonetik 2003, Umeå, pp. 89--92.
[20]
Reeves B. and Nass C. The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. University of Chicago Press http://www.press.uchicago.edu/. ISBN 157586053.
[21]
Rubin, J. Handbook of Usability Testing, John Wiley & Sons, Inc, 1994, ISBN 0-471-59403-2
[22]
Soleymani, A.J.A., McCutcheon, M.J. & Southwood, M.H. Design of speech mentor (SIM) for teaching speech to the hearing impaired. In: Proceedings of the 1997 Sixteenth Southern Biomedical Engineering Conference, pp. 425--428
[23]
Vicsi K., Roach P., Öster A.-M., Kacic Z., Barczikay & Tantoa A., Csatáári F. & Bakcsi Zs., Sfakianaki A. A multilingual teaching and training system for children with speech disorders, Int. Journal of Speech technology, 2000, Vol. 3, 289--300.
[24]
Watson, C., Reed, D., Kewley-Port, D. and Maki D., The Indiana Speech Training Aid (ISTRA). Comparisons Between Human And Computer-Based Evaluation of Speech Quality, Journal of Speech and Hearing Research, June 1989, Vol. 32, pp. 245--251
[25]
WHO. http://www.who.int/classifications/icd/en/
[26]
Wiepert, S.L., Mercer, V.S. Effects of an increased number of practice trials on Peabody Developmental Gross Motor Scale scores in children of preschool age with typical development. Pediatric Physical Therapy 2002, Vol. 14, pp. 22--28.

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cover image ACM Conferences
Assets '05: Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
October 2005
232 pages
ISBN:1595931597
DOI:10.1145/1090785
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 09 October 2005

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Author Tags

  1. Wizard-of-Oz
  2. computer-based speech training system
  3. user interface

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  • (2019)Speech pronunciation practice system for speech-impaired childrenUniversal Access in the Information Society10.1007/s10209-017-0573-518:1(169-189)Online publication date: 1-Mar-2019
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