Statistical multi-stream modeling of real-time MRI articulatory speech data

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 1584-1587

  Bresch, Erik ^a   Katsamanis, Athanasios ^a   Goldstein, Louis ^b   Narayanan, Shrikanth ^a  

^a University of Southern California ^*  (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Articulatory modeling; Realtime magnetic resonance imaging; Speech production

Indexed keywords

DATA STREAMS; HIDDEN MARKOV MODELS; SPEECH; SPEECH COMMUNICATION; TRELLIS CODES;

COUPLED HIDDEN MARKOV MODELS; GAUSSIAN MIXTURE MODEL; HUMAN VOCAL TRACT; REAL TIME; SEGMENTATION SCHEME; SPEECH PRODUCTION; STATISTICAL MODELING; VECTOR QUANTIZERS; ARTICULATORY MODELING; MODELLING FRAMEWORK; MULTI-STREAM; REAL- TIME; REALTIME MAGNETIC RESONANCE IMAGING; SHAPING PROCESS; SPEECH DATA; STATISTIC MODELING; STREAM MODELS;

MAGNETIC RESONANCE IMAGING;

EID: 79959857432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. E. Bresch, Y.-C. Kim, K. Nayak, D. Byrd, and S. Narayanan, "Seeing speech: Capturing vocal tract shaping using real-time magnetic resonance imaging," IEEE Signal Processing Magazine, May 2008.
2. C. Browman and L. Goldstein, "Towards an articulatory phonology," Phonology Yearbook, vol. 3, pp. 219-252, 1986.
3. T. Kato, S. Lee, and S. Narayanan, "An analysis of articulatory-acoustic data based on articulatory strokes," Proc. IEEE Int'l Conf. Acous., Speech, and Signal Processing, pp. 4493-4496, 2009.
4. K. Murphy, "The Bayes Net Toolbox for Matlab," Computing Science and Statistics, vol. 33, 2001.
5. A. Nefian, L. L., X. Pi, X. Liu, and K. Murphy, "Dynamic bayesian networks for audio-visual speech recognition," J. Applied Signal Processing, 2002.
6. S. Narayanan, K. Nayak, S. Lee, A. Sethy, and D. Byrd, "An approach to real-time magnetic resonance imaging for speech production," Journal of the Acoustical Society of America, vol. 115, pp. 1771-1776, 2004. (Pubitemid 38451331)
7. E. Bresch and S. Narayanan, "Region segmentation in the frequency domain applied to upper airway real-time magnetic resonance images," vol. 28, pp. 323-338, 2009.
8. J. Fontecave and F. Berthommier, "A semi-automatic method for extracting vocal tract movements from x-ray films," Speech Communication, vol. 51, pp. 97-115, 2008.
9. P. Badin, G. Bailly, L. Revéret, M. Baciu, C. Segebarth, and C. Savariaux, "Three-dimensional linear articulatory modeling of tongue, lips and face based on MR and video images," Journal of Phonetics, vol. 30, pp. 533-553, 2002.
10. S. Maeda, "Compensatory articulation during speech: evidence from the analysis and synthesis of vocal tract shapes using an ar-ticulatory model," in Speech Production and Speech Modeling, W. Hardacastle and A. Marchal, Eds. Kluwer Academic Publishers, 1990.
11. A. Lammert, M. Proctor, and S. Narayanan, "Data-driven analysis of realtime vocal tract MRI using correlated image regions," Interspeech, 2010, accepted.
12. D. Byrd, S. Tobin, E. Bresch, and S. Narayanan, "Timing effects of syllable structure and stress on nasals: a real-time MRI examination," Journal of Phonetics, vol. 37, pp. 97-110, 2009.
13. E. Bresch, L. Goldstein, and S. Narayanan, "An analysis-by-synthesis approach to modeling real-time mri articulatory data using the task dynamic application framework," 157th Meeting of the Acoustical Society of America, May 2009.