Speech Processing in Mobile Environments, 2014
SpringerBriefs in Speech Technology Series

This book focuses on speech processing in the presence of low-bit rate coding and varying background environments. The methods presented in the book exploit the speech events which are robust in noisy environments. Accurate estimation of these crucial events will be useful for carrying out various speech tasks such as speech recognition, speaker recognition and speech rate modification in mobile environments. The authors provide insights into designing and developing robust methods to process the speech in mobile environments. Covering temporal and spectral enhancement methods to minimize the effect of noise and examining methods and models on speech and speaker recognition applications in mobile environments.

Introduction.- Background and Literature Review.- Vowel Onset Point Detection from Coded and Noisy Speech.- Consonant-Vowel Recognition in Presence of Coding and Background Noise.- Spotting and Recognition of Consonant-Vowel Units from Continuous Speech.- Speaker Identification and Time Scale Modification Using VOPs.- Summary and Conclusions.- MFCC Features.- Speech Orders.- Pattern Recognition Models.

K. Sreenivasa Rao, PhD is an Associate Professor, School of Information Technology, Indian Institute of Technology Kharagpur (IIT Kharagpur), Anil Kumar Vuppala, PhD is an Assistant Professor at the International Institute of Information Technology, Hyderabad (IIIT Hyderabad).

Discusses signal processing methods to accurately determine the crucial speech events Examines methods to determine the important speech features in the presence of low-bit coding Covers design of appropriate hybrid models to improve the recognition accuracy of CV units in presence of coding Includes supplementary material: sn.pub/extras