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.

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

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