Modern Speech Recognition Approaches with Case Studies ed. by S. Ramakrishnan

Modern Speech Recognition Approaches with Case Studies ed. by S. Ramakrishnan

ITAe | 2012 | ISBN: 9789535108313 | 337 Pages | PDF | 12 MB


This book focuses primarily on speech recognition and the related tasks such as speech enhancement and modeling.

This book comprises 3 sections and thirteen chapters written by eminent researchers from USA, Brazil, Australia, Saudi Arabia, Japan, Ireland, Taiwan, Mexico, Slovakia and India. Section 1 on speech recognition consists of seven chapters.
Sections 2 and 3 on speech enhancement and speech modeling have three chapters each respectively to supplement section 1.

Contents
Preface
Section 1 Speech Recognition
1 Robust Speech Recognition for Adverse Environments
2 Speech Recognition for Agglutinative Languages
3 A Particle Filter Compensation Approach to Robust Speech Recognition
4 Robust Distributed Speech Recognition Using Auditory Modelling
5 Improvement Techniques for Automatic Speech Recognition
6 Linear Feature Transformations in Slovak Phoneme-Based Continuous Speech Recognition
7 Dereverberation Based on Spectral Subtraction by Multi-Channel LMS Algorithm for Hands-Free Speech Recognition
Section 2 Speech Enhancement
8 Improvement on Sound Quality of the Body Conducted Speech from Optical Fiber Bragg Grating Microphone
9 Esophageal Speech Enhancement Using a Feature Extraction Method Based on Wavelet Transform
10 Cochlear Implant Stimulation Rates and Speech Perception
Section 3 Speech Modelling
11 Incorporating Grammatical Features in the Modeling of the Slovak Language for Continuous Speech Recognition
12 Cross-Word Arabic Pronunciation Variation Modeling Using Part of Speech Tagging
13 VOICECONET: A Collaborative Framework for Speech-Based Computer Accessibility with a Case Study for Brazilian Portuguese

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