Computational Models of Speech Pattern Processing

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This high-level collection of invited tutorial papers and contributed papers is based on a NATO workshop held in 1997. It surveys and discusses the latest techniques in the field of speech science and technology with a view to working toward a unifying theory of speech pattern processing. The tutorials presenting significant leading-edge research are a valuable resource for researchers and others wishing to extend their knowledge of the field. Most of the papers are sorted into two groups, approaching ...

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Overview

This high-level collection of invited tutorial papers and contributed papers is based on a NATO workshop held in 1997. It surveys and discusses the latest techniques in the field of speech science and technology with a view to working toward a unifying theory of speech pattern processing. The tutorials presenting significant leading-edge research are a valuable resource for researchers and others wishing to extend their knowledge of the field. Most of the papers are sorted into two groups, approaching respectively from the acoustic and the linguistic perspectives. The acoustic papers include reviews of work on human perception, the state of the art in very-large-vocabulary recognition, connectionist and hybrid models, robust approaches, and speaker characteristics. The linguistic papers include work on psycholinguistics, language modeling and adaptation, the use of natural language knowledge sources, multilingual systems, and systems using speech technology.

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Product Details

  • ISBN-13: 9783540654780
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 1/1/1999
  • Series: Nato ASI Subseries F:, #169
  • Edition number: 1
  • Pages: 446

Table of Contents

Foreword
Speech Pattern Processing 1
Psycho-acoustics and Speech Perception 10
Acoustic Modelling for Large Vocabulary Continuous Speech Recognition 18
Tree-based Dependence Models for Speech Recognition 40
Connectionist and Hybrid Models for Automatic Speech Recognition 54
Computational Models for Auditory Speech Processing 67
Speaker Adaptation of CDHMMs Using Bayesian Learning 78
Discriminative Improvement of the Representation Space for Continuous Speech Recognition 84
Dealing with Loss of Synchronism in Multi-Band Continuous Speech Recognition Systems 90
K-Nearest Neighbours Estimator in a HMM-Based Recognition System 96
Robust Speech Recognition 102
Channel Adaptation 112
Speaker Characterization, Speaker Adaptation and Voice Conversion 122
Speaker Recognition 132
Application of Acoustic Discriminative Training in an Ergodic HMM for Speaker Identification 143
Comparison of Several Compensation Techniques for Robust Speaker Verification 149
Segmental Acoustic Modeling for Speech Recognition 157
Trajectory Representations and Acoustic Descriptions for a Segment-Modelling Approach to Automatic Speech Recognition 173
Suprasegmental Modelling 181
Computational Models for Speech Production 199
Articulatory Features and Associated Production Models in Statistical Speech Recognition 214
Talker Normalization with Articulatory Analysis-by-Synthesis 225
The Psycholinguistics of Spoken Word Recognition 233
Issues in Using Models for Self Evaluation and Correction of Speech 252
The Use of the Maximum Likelihood Criterion in Language Modelling 259
Language Model Adaptation 280
Using Natural-Language Knowledge Sources in Speech Recognition 304
How May I Help You? 328
Introduction of Rules into a Stochastic Approach for Language Modelling 350
History Integration into Semantic Classification 356
Multilingual Speech Recognition 362
Toward ALISP: A proposal for Automatic Language Independent Speech Processing 375
Interactive Translation of Conversational Speech 389
Multimodal Speech Systems 404
Multimodal Interfaces for Multimedia Information Agents 431
Index 440
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