Speech Processing in Embedded Systems
Speech Processing has rapidly emerged as one of the most widespread and well-understood application areas in the broader discipline of Digital Signal Processing. Besides the telecommunications applications that have hitherto been the largest users of spee
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Priyabrata Sinha
Speech Processing in Embedded Systems
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Priyabrata Sinha Microchip Technology, Inc., Chandler AZ, USA [email protected]
Certain Materials contained herein are reprinted with permission of Microchip Technology Incorporated. No further reprints or reproductions maybe made of said materials without Microchip’s Inc’s prior written consent.
ISBN 978-0-387-75580-9 e-ISBN 978-0-387-75581-6 DOI 10.1007/978-0-387-75581-6 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2009933603 c Springer Science+Business Media, LLC 2010 ° All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Speech Processing has rapidly emerged as one of the most widespread and wellunderstood application areas in the broader discipline of Digital Signal Processing. Besides the telecommunications applications that have hitherto been the largest users of speech processing algorithms, several nontraditional embedded processor applications are enhancing their functionality and user interfaces by utilizing various aspects of speech processing. At the same time, embedded systems, especially those based on high-performance microcontrollers and digital signal processors, are rapidly becoming ubiquitous in everyday life. Communications equipment, consumer appliances, medical, military, security, and industrial control are some of the many segments that can potentially exploit speech processing algorithms to add more value to their users. With new embedded processor families providing powerful and flexible CPU and peripheral capabilities, the range of embedded applications that employ speech processing techniques is becoming wider than ever before. While working as an Applications Engineer at Microchip Technology and helping customers incorporate speech processing functionality into mainstream embedded applications, I realized that there was an acute need for literature that addresses the embedded application and computational aspects of speech processing. This need is not effectively met by the existing speech processing texts, most of which are overwhelmingly mathematics intensive and only focus on theoretical concepts and derivations. Most speech processing books only discuss the building blocks of speech processing but
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