Speech and Audio Processing for Coding, Enhancement and Recognition by Tokunbo O

Description: Speech and Audio Processing for Coding, Enhancement and Recognition by Tokunbo Ogunfunmi, Roberto Togneri, Madihally Narasimha This book describes the basic principles underlying the generation, coding, transmission and enhancement of speech and audio signals, including advanced statistical and machine learning techniques for speech and speaker recognition with an overview of the key innovations in these areas. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description This book describes the basic principles underlying the generation, coding, transmission and enhancement of speech and audio signals, including advanced statistical and machine learning techniques for speech and speaker recognition with an overview of the key innovations in these areas. Key research undertaken in speech coding, speech enhancement, speech recognition, emotion recognition and speaker diarization are also presented, along with recent advances and new paradigms in these areas. Back Cover This book describes the basic principles underlying the generation, coding, transmission and enhancement of speech and audio signals, including advanced statistical and machine learning techniques for speech and speaker recognition with an overview of the key innovations in these areas. Key research undertaken in speech coding, speech enhancement, speech recognition, emotion recognition and speaker diarization are also presented, along with recent advances and new paradigms in these areas. Author Biography Tokunbo Ogunfunmi is an Associate Professor of Electrical Engineering and an Associate Dean for Research and Fac. Dev. at Santa Clara University.Roberto Togneri is a professor with the School of Electrical, Electronic and Computer Engineering at The University of Western Australia.Madihally (Sim) Narasimha is a Senior Director of Technology at Qualcomm Inc. Table of Contents From Harmonic Telegraph to Cellular Phones.- Challenges in Speech Coding Research.- Recent Speech Coding Technologies and Standards.- Ensemble Learning Approaches in Speech Recognition.- Dynamic and Deep Networks For Speech Modeling and Recognition.- Speech Based Emotion Recognition.- Speaker Diarization: Challenges and Emerging Research.- Maximum a posteriori spectral estimation with source log-spectral priors for multichannel speech enhancement.- Modulation Processing for Speech Enhancement. Long Description This book describes the basic principles underlying the generation, coding, transmission and enhancement of speech and audio signals, including advanced statistical and machine learning techniques for speech and speaker recognition with an overview of the key innovations in these areas. Key research undertaken in speech coding, speech enhancement, speech recognition, emotion recognition and speaker diarization are also presented, along with recent advances and new paradigms in these areas. Feature Offers readers a single-source reference on the significant applications of speech and audio processing to speech coding, speech enhancement and speech/speaker recognition. Enables readers involved in algorithm development and implementation issues for speech coding to understand the historical development and future challenges in speech coding research Discusses speech coding methods yielding bit-streams that are multi-rate and scalable for Voice-over-IP (VoIP) Networks Presents an overview of recent developments in conversational speech coding technologies, important new algorithmic advances, and recent standardization activities in ITU-T, 3GPP, 3GPP2, MPEG and IETF that offer a significantly improved user experience during voice calls on existing and future communication systems Presents an overview of ensemble learning efforts based on different machine learning techniques that have emerged in automatic speech recognition in recent years Emphasizes signal processing for efficient time-domain and spectral-domain representations, reduction of noise, channel and session variabilities, extraction of temporal and spectral features for recognition and modeling Informs readers of the latest research and developments in advanced statistical estimation and deep neural networks for speech recognition Presents readers with the architectural framework and key approaches involved in the "hot" research areas of emotion recognition and speaker diairization systems Provides readers with a more enriching view of state of the art research in speech enhancement arising from novel multi-microphone and time-frequency solutions Details ISBN1493914553 Year 2014 ISBN-10 1493914553 ISBN-13 9781493914555 Format Hardcover Publication Date 2014-10-15 Imprint Springer-Verlag New York Inc. Place of Publication New York Country of Publication United States Edited by Madihally Narasimha DEWEY 006.454 Short Title SPEECH & AUDIO PROCESSING FOR Language English Media Book Pages 345 Edition 2015th Affiliation Santa Clara University California USA DOI 10.1007/978-1-4939-1456-2 AU Release Date 2014-10-15 NZ Release Date 2014-10-15 US Release Date 2014-10-15 UK Release Date 2014-10-15 Author Madihally Narasimha Publisher Springer-Verlag New York Inc. Edition Description 2015 ed. Alternative 9781493948048 Audience Professional & Vocational Illustrations 32 Illustrations, color; 47 Illustrations, black and white; X, 345 p. 79 illus., 32 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96384923;

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