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

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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