Mathematical Foundations of Speech and Language Processing
Mark Johnson, Sanjeev P. Khudanpur, Mari Ostendorf, Roni Rosenfeld
Springer Science & Business Media, Mar 18, 2004 - Technology & Engineering - 289 pages
Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between people and machines, and to automatically transcribe, extract, analyze, and route information from high-volume streams of spoken and written information.
The workshops on Mathematical Foundations of Speech Processing and Natural Language Modeling were held in the Fall of 2000 at the University of Minnesota's NSF-sponsored Institute for Mathematics and Its Applications, as part of a "Mathematics in Multimedia" year-long program. Each workshop brought together researchers in the respective technologies on the one hand, and mathematicians and statisticians on the other hand, for an intensive week of cross-fertilization.
There is a long history of benefit from introducing mathematical techniques and ideas to speech and language technologies. Examples include the source-channel paradigm, hidden Markov models, decision trees, exponential models and formal languages theory. It is likely that new mathematical techniques, or novel applications of existing techniques, will once again prove pivotal for moving the field forward.
This volume consists of original contributions presented by participants during the two workshops. Topics include language modeling, prosody, acoustic-phonetic modeling, and statistical methodology.
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PROBABILITY AND STATISTICS IN COMPUTATIONAL LINGUISTICS A BRIEF REVIEW
THREE ISSUES IN MODERN LANGUAGE MODELING
STOCHASTIC ANALYSIS OF STRUCTURED LANGUAGE MODELING
LATENT SEMANTIC LANGUAGE MODELING FOR SPEECH RECOGNITION
PROSODY MODELING FOR AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING
SWITCHING DYNAMIC SYSTEM MODELS FOR SPEECH ARTICULATION AND ACOUSTICS
MODELING DYNAMICS AND UNDERLYING STRUCTURE IN SPEECH
MODELLING GRAPHBASED OBSERVATION SPACES FOR SEGMENTBASED SPEECH RECOGNITION
TOWARDS ROBUST AND ADAPTIVE SPEECH RECOGNITION MODELS
GRAPHICAL MODELS AND AUTOMATIC SPEECH RECOGNITION
AN INTRODUCTION TO MARKOV CHAIN MONTE CARLO METHODS
SEMIPARAMETRIC FILTERING IN SPEECH PROCESSING
LIST OF WORKSHOP PARTICIPANTS