Methods for quantifying tongue shape and complexity using ultrasound imaging

References

• Aubin, J., & Ménard, L. (2006). Compensation for a labial perturbation: an acoustic and articulatory study of child and adult French speakers. In 7th International Seminar on Speech Production (pp. 209–216). Ubatuba, Brazil: CEFALA.
   Google Scholar
• Bernhardt, B., Gick, B., Bacsfalvi, P., & Adler-bock, M. (2005). Ultrasound in speech therapy with adolescents and adults. Clinical Linguistics and Phonetics, 19(6/7), 605–617.
   PubMed Web of Science ®Google Scholar
• Bernhardt, B., Bacsfalvi, P., Gick, B., Radanov, B., & Williams, R. (2005). Exploring the use of electropalatography and ultrasound in speech habilitation. Journal of Speech-Language Pathology and Audiology, 29(4), 169–182.
   Google Scholar
• Bresch, E., Riggs, D., Goldstein, L., Byrd, D., Lee, S., & Narayanan, S. (2008). An analysis of vocal tract shaping in English sibilant fricatives using real-time magnetic resonance imaging. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (pp. 2823–2826). Bisbane, Australia: International Speech Communication Association.
   Google Scholar
• Burns, R. P., & Burns, R. (2008). Discriminant analysis. In Business research methods and statistics using SPSS ( Chapter 25, pp. 589–608). London: Sage.
   Google Scholar
• Chitoran, I., & Cohn, A. C. (2009). Complexity in phonetics and phonology: gradience, categoriality, and naturalness. In F. Pellegrino, E. Marsico, I. Chitoran, & C. Coupé (Eds.), Approaches to phonological complexity (pp. 23–46). New York: Mouton de Gruyter.
   Google Scholar
• Davidson, L. (2006). Comparing tongue shapes from ultrasound imaging using smoothing spline analysis of variance. The Journal of the Acoustical Society of America, 120(1), 407–415.
   PubMed Web of Science ®Google Scholar
• Gibbon, F. E. (1999). Undifferentiated lingual gestures in children with articulation/phonological disorders. Journal of Speech, Language and Hearing Research, 42(2), 382–397.
   PubMed Web of Science ®Google Scholar
• Gick, B., Bacsfalvi, P., Bernhardt, B. M., Oh, S., Stolar, S., & Wilson, I. (2008). A motor differentiation model for liquid substitutions: English /r/ variants in normal and disordered acquisition. In Proceedings of Meetings on Acoustics, 1(pp. 1–9).
   Google Scholar
• Goodall, C. (1991). Procrustes methods in the statistical analysis of shape. Journal of the Royal Statistical Society, 53(2), 285–339.
   Google Scholar
• Grassberger, P. (1986a). How to measure self-generated complexity. Physica A: Statistical Mechanics and Its Applications, 140(1), 319–325.
   Web of Science ®Google Scholar
• Grassberger, P. (1986b). Toward a quantitative theory of self-generated complexity. International Journal of Theoretical Physics, 25(9), 907–938.
   Web of Science ®Google Scholar
• Grassberger, P. (2012). Randomness, information, and complexity. arXiv, Preprint arXiv: 1208.3459.
   Google Scholar
• Hardcastle, W. J., Barry, R. M., & Clark, C. J. (1987). An instrumental phonetic study of lingual activity in articulation-disordered children. Journal of Speech, Language, and Hearing Research, 30(2), 171–184.
   Web of Science ®Google Scholar
• Harshman, R., Ladefoged, P., & Goldstein, L. (1977). Factor analysis of tongue shapes. Journal of the Acoustical Society of America, 62(3), 693–707.
   PubMed Web of Science ®Google Scholar
• Hitchcock, E. R., & McAllister Byun, T. (2015). Enhancing generalisation in biofeedback intervention using the challenge point framework: A case study. Clinical Linguistics & Phonetics, 29(1), 59–75.
   PubMed Web of Science ®Google Scholar
• Hoole, P., Wismueller, A., Leinsinger, G., Kroos, C., Geumann, A., & Inoue, M. (2000). Analysis of the tongue configuration in multi-speaker, multi-volume MRI data. In Proceedings of the 5th Seminar on Speech Production: Models and Data & CREST Workshop on Models of Speech Production: Motor Planning and Articulatory Modelling (pp. 157–160). Kloster Seeon, Germany.
   Google Scholar
• Kent, R. D. (1992). The biology of phonological development. In C. Ferguson, L. Menn, & C. Stoel-Gammon (Eds.), Phonological development: Models, research, implications (pp. 65–90). Timonium, MD: York Press.
   Google Scholar
• Kent, R. D., Netsell, R., & Bauer, L. L. (1975). Cineradiography assessment of articulatory mobility in the dysarthrias. Journal of Speech and Hearing Disorders, 40(4), 467–480.
   PubMedGoogle Scholar
• Klein, H. B., McAllister Byun, T., Davidson, L., & Grigos, M. I. (2013). A multidimensional investigation of children’s /r/ productions: Perceptual, ultrasound, and acoustic measures. American Journal of Speech-Language Pathology, 22(3), 540–553.
   PubMed Web of Science ®Google Scholar
• Lawson, E., Stuart-Smith, J., Scobbie, J., Yaeger-Dror, M., & Maclagan, M. (2011). Liquids. In M. Di Paolo & M. Yaeger-Dror (Eds.), Sociophonetics: A student’s guide (pp. 72–86). London: Routledge.
   Google Scholar
• Li, M., Kambhamettu, C., & Stone, M. (2005). Automatic contour tracking in ultrasound images. Clinical Linguistics & Phonetics, 19(6–7), 545–554.
   PubMed Web of Science ®Google Scholar
• Liljencrants, J. (1971). Fourier series description of the tongue profile. Speech Transmission Laboratory-Quarterly Progress Status Reports, 12(4), 9–18.
   Google Scholar
• McAllister Byun, T., & Hitchcock, E. R. (2012). Investigating the use of traditional and spectral biofeedback approaches to intervention for /r/ misarticulation. American Journal of Speech-Language Pathology, 21(3), 207–222.
   PubMed Web of Science ®Google Scholar
• Ménard, L., Aubin, J., Thibeault, M., & Richard, G. (2012). Measuring tongue shapes and positions with ultrasound imaging: A validation experiment using an articulatory model. Folia Phoniatrica et Logopaedica, 64(2), 64–72.
   PubMed Web of Science ®Google Scholar
• Morrish, K. A., Stone, M., Shawker, T. H., & Sonies, B. C. (1985). Distinguisability of tongue shape during vowel production. Journal of Phonetics, 13(2), 189–203.
   Web of Science ®Google Scholar
• Morrish, K. A., Stone, M., Sonies, B. C., Kurtz, D., & Shawker, T. (1984). Characterization of tongue shape. Ultrasonic Imaging, 6(1), 37–47.
   PubMed Web of Science ®Google Scholar
• Narayanan, S., & Alwan, A. (1996). Imaging applications in speech production research. Proceedings of SPIE 2709, Medical imaging 1996: Physiology and function from multidimensional images, 2709, 120–131.
   Google Scholar
• Presentation. (2013). Albany, CA: Neurobehavioral systems. Retrieved from www.neurobs.com
   Google Scholar
• Python Language. (2013). Python Software Foundation. Retrieved from www.python.org
   Google Scholar
• Ripley, B., Hornik, K., Gebhardt, A., & Firth, D. (2013). Package ‘MASS’. Retrieved from http://cran.r-project.org/web/packages/ MASS/MASS.pdf
   Google Scholar
• Slud, E., Stone, M., Smith, P., & Goldstein, M., Jr. (2002). Principal components representation of the two-dimensional coronal tongue surface. Phonetica, 59(2–3), 108–133.
   PubMed Web of Science ®Google Scholar
• Stavness, I., Gick, B., Derrick, D., & Fels, S. (2012). Biomechanical modeling of English /r/ variants. The Journal of the Acoustical Society of America, 131(5), EL355–60.
   PubMed Web of Science ®Google Scholar
• Stokes, S. F., & Surendran, D. (2005). Articulatory complexity, ambient frequency, and functional load as predictors of consonant development in children. Journal of Speech, Language and Hearing Research, 48(3), 577–592.
   PubMed Web of Science ®Google Scholar
• Stolar, S., & Gick, B. (2013). An index for quantifying tongue curvature. Canadian Acoustics, 41(1), 11–15.
   Google Scholar
• Stone, M. (2005). A guide to analysing tongue motion from ultrasound images. Clinical Linguistics & Phonetics, 19(6–7), 455–501.
   PubMed Web of Science ®Google Scholar
• Takemoto, H. (2001). Morphological analyses of the human tongue musculature for three-domensional modeling. Journal of Speech, Language and Hearing Research, 44(1), 95–107.
   PubMed Web of Science ®Google Scholar
• Wang, J., Green, J. R., Samal, A., & Yunusova, Y. (2013). Articulatory distinctiveness of vowels and consonants: A data-driven approach. Journal of Speech, Language and Hearing Research, 56(5), 1539–1552.
   PubMed Web of Science ®Google Scholar
• Welling, M. (2005). Fisher linear discriminant analysis. Toronto. Retrieved from http://www.cs.huji.ac.il.ezproxy.gc.cuny.edu/~csip/Fisher-LDA.pdf
   Google Scholar
• Zharkova, N. (2013). Using ultrasound to quantify tongue shape and movement characteristics. The Cleft Palate-Craniofacial Journal, 50(1), 76–81.
   PubMed Web of Science ®Google Scholar
• Zharkova, N., Gibbon, F. E., & Hardcastle, W. J. (2015). Quantifying lingual coarticulation using ultrasound imaging data collected with and without head stabilisation. Clinical Linguistics & Phonetics, 29(4), 249–265.
   PubMed Web of Science ®Google Scholar
• Zhou, X., Espy-Wilson, C. Y., Boyce, S., Tiede, M., Holland, C., & Choe, A. (2008). A magnetic resonance imaging-based articulatory and acoustic study of ‘retroflex’ and ‘bunched’ American English /r/. The Journal of the Acoustical Society of America, 123(6), 4466–4481.
   PubMed Web of Science ®Google Scholar