Computational Models of Speech Pattern Processing

by Keith Ponting (Editor)

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.

Product Details

ISBN-13:	9783642642500
Publisher:	Springer Berlin Heidelberg
Publication date:	12/21/2011
Series:	NATO ASI Subseries F: , #169
Edition description:	Softcover reprint of the original 1st ed. 1999
Pages:	446
Product dimensions:	6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

Speech Pattern Processing.- Psycho-acoustics and Speech Perception.- Acoustic Modelling for Large Vocabulary Continuous Speech Recognition.- Tree-based Dependence Models for Speech Recognition.- Connectionist and Hybrid Models for Automatic Speech Recognition.- Computational Models for Auditory Speech Processing.- Speaker Adaptation of CDHMMs Using Bayesian Learning.- Discriminative Improvement of the Representation Space for Continuous Speech Recognition.- Dealing with Loss of Synchronism in Multi-Band Continuous Speech Recognition Systems.- K-Nearest Neighbours Estimator in a HMM-Based Recognition System.- Robust Speech Recognition.- Channel Adaptation.- Speaker Characterization, Speaker Adaptation and Voice Conversion.- Speaker Recognition.- Application of Acoustic Discriminative Training in an Ergodic HMM for Speaker Identification.- Comparison of Several Compensation Techniques for Robust Speaker Verification.- Segmental Acoustic Modeling for Speech Recognition.- Trajectory Representations and Acoustic Descriptions for a Segment-Modelling Approach to Automatic Speech Recognition.- Suprasegmental Modelling.- Computational Models for Speech Production.- Articulatory Features and Associated Production Models in Statistical Speech Recognition.- Talker Normalization with Articulatory Analysis-by-Synthesis.- The Psycholinguistics of Spoken Word Recognition.- Issues in Using Models for Self Evaluation and Correction of Speech.- The Use of the Maximum Likelihood Criterion in Language Modelling.- Language Model Adaptation.- Using Natural-Language Knowledge Sources in Speech Recognition.- How May I Help You?.- of Rules into a Shastic Approach for Language Modelling.- History Integration into Semantic Classification.- Multilingual Speech Recognition.- Toward ALISP: A proposal for Automatic Language Independent Speech Processing.- Interactive Translation of Conversational Speech.- Multimodal Speech Systems.- Multimodal Interfaces for Multimedia Information Agents.