Computational Models of Speech Pattern Processing [Paperback]

Proceedings of the NATO Advanced Study Institute on Computational Models of Speech Pattern Processing, held in St. Helier, Jersey, UK, July 7-18, 1997Speech Pattern Processing.- 1. The State-of-the-Art in Speech.- 2. Speech Patterning.- 3. Speech Pattern Processing.- 4. Whither a Unified Theory?.- 4.1 Towards a Theory.- 4.2 Practical Issues.- 5. What We Know.- 6. Some Things We Dont Know.- 7. The Way Forward.- References.- Psycho-acoustics and Speech Perception.- 1. Introduction.- 2. Psycho-acoustics.- 3. Speech Perception.- 3.1 Vowel Reduction and Schwa.- 3.2 Spectro-temporal Dynamics of Formant Transitions.- 3.3 Consonant Reduction.- 4. Discussion.- References.- Acoustic Modelling for Large Vocabulary Continuous Speech Recognition.- 1. Introduction.- 2. Overview of LVCSR Architecture.- 3. Front End Processing.- 4. Basic Phone Modelling.- 4.1 HMM Phone Models.- 4.2 HMM Parameter Estimation.- 4.3 Context-Dependent Phone Models.- 5. Adaptation for LVCSR.- 5.1 Maximum Likelihood Linear Regression.- 5.2 Estimating the MLLR Transforms.- 6. Progress in LVCSR.- 7. Discriminative Training for LVCSR.- 8. Conclusions.- References.- Tree-based Dependence Models for Speech Recognition.- 1. Introduction.- 2. Hidden Tree Framework.- 3. Hidden Dependence Trees.- 3.1 The Mathematical Framework.- 3.2 Application to Speech.- 3.3 Topology Design and Parameter Estimation.- 3.4 Experiments.- 4. Multiscale Tree Processes.- 4.1 The Mathematical Framework.- 4.2 Application to Speech.- 4.3 Topology Design and Parameter Estimation.- 4.4 Experiments.- 5. Discussion.- References.- Connectionist and Hybrid Models for Automatic Speech Recognition.- 1. Introduction.- 2. A Brief Overview of Neural Networks.- 2.1 Basic Principles.- 2.2 Main Models for ASR.- 3. Signal Processing and Feature Extraction using ANNs.- 4. Neural Networks as Static Pattern Classifiers.- 4.1 Speech Pattern Classification with Perceptrons.- 4.2 Feature Maps.- 5. Dynamic Aspects.- 5.1 Position of the Problem.- 5.2 Time DellÃ'