Speech Recognition and Understanding: Recent Advances, Trends and Applications

Front Matter....Pages I-XI
Front Matter....Pages 1-1
Hidden Markov Models for Speech Recognition — Strengths and Limitations....Pages 3-29
Hidden Markov Models and Speaker Adaptation....Pages 31-57
A 20,000 word automatic speech recognizer....Pages 59-64
Automatic adjustments of the Markov models topology for speech recognition applications over the telephone....Pages 65-70
Phonetic Structure Inference of Phonemic HMM....Pages 71-76
Phonetic Units and Phonotactical Structure Inference by Ergodic Hidden Markov Models....Pages 77-82
Clustering of Gaussian densities in hidden Markov models....Pages 83-88
Developments in High-Performance Connected Digit Recognition....Pages 89-94
Robust Speaker-Independent Hidden Markov Model Based Word Spotter....Pages 95-100
Robust Speech Recognition in Noisy and Reverberant Environments....Pages 101-106
An ISDN speech server based on speaker independent continuous Hidden Markov Models....Pages 107-112
RAMSES: A Spanish Demisyllable Based Continuous Speech Recognition System....Pages 113-118
Speaker Independent 1000 Words Speech Recognition in Spanish....Pages 119-124
Continuously Variable Transition Probability HMM for Speech Recognition....Pages 125-130
Front Matter....Pages 131-131
Context-Dependent Phonetic Hidden Markov Models for Speaker-Independent Continuous Speech Recognition....Pages 133-133
Speaker Independent Continuous Speech Recognition Using Continuous Density Hidden Markov Models....Pages 135-163
A Fast Lexical Selection Strategy for Large Vocabulary Continuous Speech Recognition....Pages 165-170
Performance of a Speaker-Independent Continuous Speech Recognizer....Pages 171-179
Automatic Transformation of Speech Databases for Continuous Speech Recognition....Pages 181-186
Iterative Optimization of the Data Driven Analysis in Continuous Speech....Pages 187-192
Front Matter....Pages 131-131
Syllable-based stochastic models for continuous speech recognition....Pages 193-198
Word Hypothesization in Continuous Speech Recognition....Pages 199-203
Phone Recognition Using High Order Phonotactic Constraints....Pages 205-210
An Efficient Structure for Continuous Speech Recognition....Pages 211-216
Search Organization for Large Vocabulary Continuous Speech Recognition....Pages 217-222
Front Matter....Pages 223-223
Neural Networks or Hidden Markov Models for Automatic Speech Recognition: Is there a Choice?....Pages 225-236
Neural Networks for Continuous Speech Recognition....Pages 237-257
Connectionist Large Vocabulary Speech Recognition....Pages 259-273
The cortical column as a model for speech recognition: principles and first experiments....Pages 275-292
Radial Basis Functions for Speech Recognition....Pages 293-298
Phonetic features extraction using Time-Delay Neural Networks....Pages 299-304
Improved Broad Phonetic Classification and Segmentation with an Auditory Model....Pages 305-310
Automatic Learning of a Production Rule System for Acoustic-Phonetic Decoding....Pages 311-316
Front Matter....Pages 317-317
Stochastic Grammars and Pattern Recognition....Pages 319-344
Basic Methods of Probabilistic Context Free Grammars....Pages 345-360
A Probabilistic Approach to Person-Robot Dialogue....Pages 361-380
Experimenting Text Creation by Natural-Language, Large-Vocabulary Speech Recognition....Pages 381-387
DUALGRAM: An Efficient Method for Representing Limited-Domain Language Models....Pages 389-394
Strategies for Speech Recognition and Understanding using Layered Protocols....Pages 395-400
Front Matter....Pages 401-401
TINA: A Probabilistic Syntactic Parser for Speech Understanding Systems....Pages 403-414
Front Matter....Pages 401-401
The Voyager Speech Understanding System: A Progress Report....Pages 415-424
The Interaction of Word Recognition and Linguistic Processing in Speech Understanding....Pages 425-453
Linguistic Processing in a Speech Understanding System....Pages 455-479
Linguistic Tools for Speech Recognition and Understanding....Pages 481-485
Evidential reasoning and the combination of knowledge and statistical techniques in syllable based speech recognition....Pages 487-492
Front Matter....Pages 493-493
Data Base Management for Use with Acoustic-Phonetic Speech Data Bases....Pages 495-500
BPF Outputs Compared with Formant Frequencies and LPC’s for the Recognition of Vowels....Pages 501-506
A Codification of Error Signal by Splines Functions....Pages 507-512
Specific Distance for Feature Selection in Speech Recognition....Pages 513-518
Multiple Template Modeling of Sublexical Units....Pages 519-524
Learning Structural Models of Sublexical Units....Pages 525-530
On the use of Negative Samples in the MGGI Methodology and its application for Difficult Vocabulary Recognition Tasks....Pages 531-536
A New Method for Dynamic Time Alignment of Speech Waveforms....Pages 537-542
A New Technique for Automatic Segmentation of Continuous Speech....Pages 543-548
Segmentation of speech based upon a linear model of the effects of coarticulation....Pages 549-554
Back Matter....Pages 555-564