A Semantic and DetectionBased Approach to Speech and Language Processing

[1]  Sylvio Barbon Junior,et al.  Spoken Document Summarization Based on Dynamic Time Warping and Wavelets , 2007, Int. J. Semantic Comput..

[2]  Ye-Yi Wang,et al.  Spoken language understanding , 2005, IEEE Signal Processing Magazine.

[3]  Jinyu Li,et al.  On designing and evaluating speech event detectors , 2005, INTERSPEECH.

[4]  Kuansan Wang,et al.  A detection based approach to robust speech understanding , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  C.-H. Lee,et al.  From knowledge-ignorant to knowledge-rich modeling : a new speech research parading for next generation automatic speech recognition , 2004 .

[6]  Kuansan Wang.  Semantics synchronous understanding for robust spoken language applications , 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

[7]  Kenneth N Stevens,et al.  Toward a model for lexical access based on acoustic landmarks and distinctive features. , 2002, The Journal of the Acoustical Society of America.

[8]  Li Deng,et al.  Mipad: a next generation PDA prototype , 2000, INTERSPEECH.

[9]  Kenneth N. Stevens,et al.  Diverse Acoustic Cues at Consonantal Landmarks , 2000, Phonetica.

[10]  S. Furui,et al.  Automatic recognition and understanding of spoken language - a first step toward natural human-machine communication , 2000, Proceedings of the IEEE.

[11]  Hsiao-Wuen Hon,et al.  Unified frame and segment based models for automatic speech recognition , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[12]  Hamid Sheikhzadeh,et al.  A layered neural network interfaced with a cochlear model for the study of speech encoding in the auditory system , 1999, Comput. Speech Lang..

[13]  Partha Niyogi,et al.  A detection framework for locating phonetic events , 1998, ICSLP.

[14]  Biing-Hwang Juang,et al.  Flexible speech understanding based on combined key-phrase detection and verification , 1998, IEEE Trans. Speech Audio Process..

[15]  K. Wang,et al.  Extracting dynamic features using the stochastic matching pursuit algorithm for speech event detection , 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.

[16]  Anthony Kuh,et al.  Temporal difference learning applied to sequential detection , 1997, IEEE Trans. Neural Networks.

[17]  James K. Lindsey,et al.  Parametric Statistical Inference , 1996 .

[18]  Kuansan Wang,et al.  Spectral shape analysis in the central auditory system , 1995, IEEE Trans. Speech Audio Process..

[19]  Jont B. Allen,et al.  How do humans process and recognize speech? , 1994, IEEE Trans. Speech Audio Process..

[20]  K. Stevens,et al.  Feature geometry and the vocal tract , 1994 .

[21]  C D Geisler,et al.  Responses of auditory-nerve fibers to nasal consonant-vowel syllables. , 1987, The Journal of the Acoustical Society of America.

[22]  C. D. Geisler,et al.  A composite auditory model for processing speech sounds. , 1987, The Journal of the Acoustical Society of America.

[23]  S. Furui.  On the role of spectral transition for speech perception. , 1986, The Journal of the Acoustical Society of America.

[24]  C. C. Lee,et al.  A modified sequential detection procedure , 1984, IEEE Trans. Inf. Theory.

[25]  James J. Jenkins,et al.  Dynamic specification of coarticulated vowels , 1983 .

[26]  Lalit R. Bahl,et al.  Design of a linguistic statistical decoder for the recognition of continuous speech , 1975, IEEE Trans. Inf. Theory.

[27]  Kenneth N. Stevens,et al.  On the quantal nature of speech , 1972 .

[28]  David Middleton,et al.  Optimum sequential detection of signals in noise , 1955, IRE Trans. Inf. Theory.

[29]  G. A. Miller,et al.  An Analysis of Perceptual Confusions Among Some English Consonants , 1955 .