| [1] |
J. Frankel, K. Richmond, S. King, and P. Taylor.
An automatic speech recognition system using neural networks and
linear dynamic models to recover and model articulatory traces.
In Proc. ICLSP, 2000. [ bib | .ps | .pdf | Abstract ] |
| [2] |
S. King, P. Taylor, J. Frankel, and K. Richmond.
Speech recognition via phonetically-featured syllables.
In PHONUS, volume 5, pages 15-34, Institute of Phonetics,
University of the Saarland, 2000. [ bib | .ps | .pdf | Abstract ] |
| [3] |
J. Frankel and S. King.
Speech recognition in the articulatory domain: investigating an
alternative to acoustic HMMs.
In Proc. Workshop on Innovations in Speech Processing, 2001. [ bib | .ps | .pdf | Abstract ] |
| [4] |
J. Frankel and S. King.
ASR - articulatory speech recognition.
In Proc. Eurospeech, pages 599-602, Aalborg, Denmark,
September 2001. [ bib | .ps | .pdf | Abstract ] |
| [5] |
J. Frankel.
Linear dynamic models for automatic speech recognition.
PhD thesis, The Centre for Speech Technology Research, Edinburgh
University, 2003. [ bib | .ps | .pdf | Abstract ] |
| [6] |
J. Frankel, M. Wester, and S. King.
Articulatory feature recognition using dynamic Bayesian networks.
In Proc. ICLSP, 2004. [ bib | .ps | .pdf | Abstract ] |
| [7] |
M. Wester, J. Frankel, and S. King.
Asynchronous articulatory feature recognition using dynamic
Bayesian networks.
In Proc. IEICI Beyond HMM Workshop, Kyoto, 2004. [ bib | .ps | .pdf | Abstract ] |
| [8] |
J. Frankel and S. King.
A hybrid ANN/DBN approach to articulatory feature recognition.
In Proc. Eurospeech, Lisbon, September 2005. [ bib | .ps | .pdf | Abstract ] |
| [9] |
J. Frankel and S. King.
Observation process adaptation for linear dynamic models.
Speech Communication, 48(9):1192-1199, September 2006. [ bib | .ps | .pdf | Abstract ] |
| [10] |
A. Janin, A. Stolcke, X. Anguera, K. Boakye, Ö. Cetin, J. Frankel, and
J. Zheng.
The ICSI-SRI spring 2006 meeting recognition system.
In Proc. MLMI, Washington DC., May 2006. [ bib | .ps | .pdf | Abstract ] |
| [11] |
J. Frankel and S. King.
Speech recognition using linear dynamic models.
IEEE Transactions on Speech and Audio Processing,
15(1):246-256, January 2007. [ bib | .ps | .pdf | Abstract ] |
| [12] |
S. King, J. Frankel, K. Livescu, E. McDermott, K. Richmond, and M. Wester.
Speech production knowledge in automatic speech recognition.
Journal of the Acoustical Society of America, 121(2):723-742,
February 2007. [ bib | .pdf | Abstract ] |
| [13] |
K. Livescu, O. Cetin, M. Hasegawa-Johnson, S. King, C. Bartels, N. Borges,
A. Kantor, P. Lal, L. Yung, S. Bezman, 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, Honolulu, April 2007. [ bib | .pdf | Abstract ] |
| [14] |
O. Cetin, A. Kantor, S. King, C. Bartels, M. Magimai-Doss, J. Frankel, and
K. Livescu.
An articulatory feature-based tandem approach and factored
observation modeling.
In Proc. ICASSP, Honolulu, April 2007. [ bib | .pdf | Abstract ] |
| [15] |
K. Livescu, A. Bezman, N. Borges, L. Yung, O. Cetin, 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, Honolulu, April 2007. [ bib | .pdf | Abstract ] |
| [16] |
J. Frankel, M. Magimai-Doss, S. King, K. Livescu, and O. Cetin.
Articulatory feature classifiers trained on 2000 hours of telephone
speech.
In Proc. Interspeech, Antwerp, Belgium, August 2007. [ bib | .pdf | Abstract ] |
| [17] |
J. Frankel, M Wester, and S. King.
Articulatory feature recognition using dynamic Bayesian networks.
Computer Speech & Language, 21(4):620-640, October 2007. [ bib | .pdf | Abstract ] |
| [18] |
J. Frankel and S. King.
Factoring Gaussian precision matrices for linear dynamic models.
Pattern Recognition Letters, 27:2264-2272, 2007. [ bib | .pdf | Abstract ] |
| [19] |
Ö. Cetin, M. Magimai-Doss, A. Kantor, S. King, C. Bartels, J. Frankel,
and K. Livescu.
Monolingual and crosslingual comparison of tandem features derived
from articulatory and phone MLPs.
In Proc. ASRU, Kyoto, December 2007. IEEE. [ bib | .pdf | Abstract ] |