Speech processing using maximum likelihood continuity mapping
作者： John E. Hogden
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摘要: Speech processing is obtained that, given a probabilistic mapping between static speech sounds and pseudo-articulator positions, allows sequences of to be mapped smooth positions. In addition, method for learning position described. The the uses set training data composed only sounds. said can applied various analysis tasks, including recognition, speaker coding, synthesis, voice mimicry.
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lens.org 参考文章(14)
John G. Proakis, John R. Deller, John H. Hansen, Discrete-Time Processing of Speech Signals ,(1993)
S. Parthasarathy, J. Schroeter, C. Coker, M.M. Sondhi, Articulatory analysis and synthesis of speech ieee region 10 conference. pp. 760- 764 ,(1989) , 10.1109/TENCON.1989.177049
Sharlene A. Liu, Landmark detection for distinctive feature-based speech recognition Journal of the Acoustical Society of America. ,vol. 100, pp. 3417- 3430 ,(1996) , 10.1121/1.411152
Joseph S. Perkell, Marc H. Cohen, Mario A. Svirsky, Melanie L. Matthies, Iñaki Garabieta, Michel T. T. Jackson, Electromagnetic midsagittal articulometer systems for transducing speech articulatory movements Journal of the Acoustical Society of America. ,vol. 92, pp. 3078- 3096 ,(1992) , 10.1121/1.404204
Sandra E. Hutchins, Method and apparatus for determining articulatory parameters from speech data Journal of the Acoustical Society of America. ,vol. 91, pp. 3594- 3594 ,(1990) , 10.1121/1.402800
S. Parthasarathy, Cecil H. Coker, On automatic estimation of articulatory parameters in a text-to-speech system Computer Speech & Language. ,vol. 6, pp. 37- 75 ,(1992) , 10.1016/0885-2308(92)90043-4
Igor Zlokarnik, Adding articulatory features to acoustic features for automatic speech recognition Journal of the Acoustical Society of America. ,vol. 97, pp. 3246- 3246 ,(1995) , 10.1121/1.411699
A STATISTICAL APPROACH TO AUTOMATIC SPEECH RECOGNITION USING THE ATOMIC SPEECH UNITS CONSTRUCTED FROM OVERLAPPING ARTICULATORY FEATURES Journal of the Acoustical Society of America. ,vol. 95, pp. 2702- 2719 ,(1994) , 10.1121/1.409839
John Hogden, Anders Lofqvist, Vince Gracco, Igor Zlokarnik, Philip Rubin, Elliot Saltzman, ACCURATE RECOVERY OF ARTICULATOR POSITIONS FROM ACOUSTICS : NEW CONCLUSIONS BASED ON HUMAN DATA Journal of the Acoustical Society of America. ,vol. 100, pp. 1819- 1834 ,(1996) , 10.1121/1.416001
R. C. Rose, J. Schroeter, M. M. Sondhi, The potential role of speech production models in automatic speech recognition. Journal of the Acoustical Society of America. ,vol. 99, pp. 1699- 1709 ,(1996) , 10.1121/1.414679