A factored conditional random field model for articulatory feature forced transcription

2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings

Volumn , Issue , 2011, Pages 77-82

  Prabhavalkar, Rohit ^a   Fosler Lussier, Eric ^a   Livescu, Karen ^b  

^a The Ohio State University   (United States)

^b TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICULATORY DATA; ARTICULATORY FEATURES; ASYNCHRONY; CONDITIONAL RANDOM FIELD; DYNAMIC BAYESIAN NETWORK; EXACT INFERENCE; EXPLICIT MODELS; GRAPHICAL MODEL; JOINT MODELS; PHONETIC TRANSCRIPTIONS; PHYSICAL MEASUREMENT; STATE SPACE;

LINGUISTICS; RANDOM PROCESSES; SPEECH PROCESSING; SPEECH RECOGNITION;

TRANSCRIPTION;

EID: 84858966477     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2011.6163909     Document Type: Conference Paper

References (25)

1. L. Deng, G. Ramsay, and D. Sun, "Production models as a structural basis for automatic speech recognition," Speech Communication, vol. 22, pp. 93-111, 1997. (Pubitemid 127381518)
2. S. King, J. Frankel, K. Livescu, E. McDermott, K. Richmond, and M. Wester, "Speech production knowledge in automatic speech recognition," The Journal of the Acoustical Society of America, vol. 121, pp. 723-742, 2007. (Pubitemid 46192674)
3. K. Livescu, O. Çetin, M. Hasegawa-Johnson, S. King, C. Bartels, N. Borges, A. Kantor, P. Lal, L. Yung, A. Bezman, S. Dawson-Haggerty, B. Woods, J. Frankel, M. Magimai-Doss, and K. Saenko, "Articulatory feature-based methods for acoustic and audio-visual speech recognition: Summary from the 2006 JHU summer workshop," in Proc. ICASSP, 2007.
4. C. Hu, X. Zhuang, and M. Hasegawa-Johnson, "FSM-based pronunciation modeling using articulatory phonological code," in Proc. Inter-speech, 2010.
5. V. Mitra, H. Nam, C. Espy-Wilson, E. Saltzman, and L. Goldstein, "Robust word recognition using articulatory trajectories and gestures," in Proc. Interspeech, 2010.
6. C. P. Browman and L. Goldstein, "Articulatory phonology: an overview," Phonetica, vol. 49, pp. 155-180, 1992.
7. K. Kirchhoff, G. A. Fink, and G. Sagerer, "Combining acoustic and articulatory feature information for robust speech recognition," Speech Communication, vol. 37, pp. 303-319, 2002. (Pubitemid 34524845)
8. S. Stüker, F. Metze, T. Schultz, and A. Waibel, "Integrating multilingual articulatory features into speech recognition," in Proc. Eurospeech, 2003.
9. K. Livescu, "Feature-based pronunciation modeling for automatic speech recognition," Ph.D. dissertation, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2005.
10. P. Jyothi, K. Livescu, and E. Fosler-Lussier, "Lexical access experiments with context-dependent articulatory feature-based models," in Proc. ICASSP, 2011.
11. M. Richardson, J. Bilmes, and C. Diorio, "Hidden-articulator Markov models for speech recognition," Speech Communication, vol. 41, pp. 511-529, 2003.
12. J. D. Lafferty, A. McCallum, and F. C. N. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in Proc. ICML, 2001.
13. C. Sutton, K. Rohanimanesh, and A. McCallum, "Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data," in Proc. ICML, 2004.
14. K. Livescu, A. Bezman, N. Borges, L. Yung, O. Çetin, J. Frankel, S. King, M. Magimai-Doss, X. Chi, and L. Lavoie, "Manual transcription of conversational speech at the articulatory feature level," in Proc. ICASSP, 2007.
15. P. Ghosh and S. Narayanan, "A subject-independent acoustic-to-articulatory inversion," in Proc. ICASSP, 2011.
16. J. Morris and E. Fosler-Lussier, "Conditional random fields for integrating local discriminative classifiers," IEEE Trans. on Audio, Speech, and Language Processing, vol. 16, pp. 617-628, 2008.
17. K. Livescu and J. Glass, "Feature-based pronunciation modeling with trainable asynchrony probabilities," in Proc. ICSLP, 2004.
18. F. Kschischang, B. Frey, and H.-A. Loeliger, "Factor graphs and the sum-product algorithm," IEEE Trans. on Information Theory, vol. 47, pp. 498-519, 2001. (Pubitemid 32318087)
19. C. Sutton, "GRMM: GRaphical Models in Mallet," http://mallet.cs.umass.edu/grmm/, 2006.
20. S. Greenberg, J. Hollenback, and D. Ellis, "Insights into spoken language gleaned from phonetic transcription of the Switchboard corpus," in Proc. ICSLP, 1996.
21. J. Godfrey, E. Holliman, and J. McDaniel, "SWITCHBOARD: telephone speech corpus for research and development," in Proc. ICASSP, 1992.
22. J. Bilmes and G. Zweig, "The graphical models toolkit: An open source software system for speech and time-series processing," in Proc. ICASSP, 2002.
23. L. Bottou, "Large-scale machine learning with stochastic gradient descent," in Proc. COMPSTAT, 2010.
24. D. Johnson et al., "ICSI QuickNet software package," http://www.icsi.berkeley.edu/Speech/qn.html, 2004.
25. H. Hermansky, D. Ellis, and S. Sharma, "Tandem connectionist feature extraction for conventional HMM systems," in Proc. ICASSP, 2000.