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OverviewFull Product DetailsAuthor: Dorothea Kolossa , Reinhold Haeb-UmbachPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2011 ed. Dimensions: Width: 15.50cm , Height: 2.10cm , Length: 23.50cm Weight: 0.611kg ISBN: 9783642438684ISBN 10: 3642438687 Pages: 380 Publication Date: 12 November 2014 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsChap. 1 – Introduction.- Part I – Theoretical Foundations.- Chap. 2 – Uncertainty Decoding and Conditional Bayesian Estimation.- Chap. 3 – Uncertainty Propagation.- Part II – Applications.- Chap. 4 – Front-End, Back-End, and Hybrid Techniques for Noise-Robust Speech Recognition.- Chap. 5 – Model-Based Approaches to Handling Uncertainty.- Chap. 6 – Reconstructing Noise-Corrupted Spectrographic Components for Robust Speech Recognition.- Chap. 7 – Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data.- Chap. 8 – Conditional Bayesian Estimation Employing a Phase-Sensitive Estimation Model for Noise-Robust Speech Recognition.- Part III – Reverberation Robustness.- Chap. 9 – Variance Compensation for Recognition of Reverberant Speech with Dereverberation Processing.- Chap. 10 – A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition.- Part IV – Applications: Multiple Speakers and Modalities.- Chap. 11 – Evidence Modelling for Missing Data Speech Recognition Using Small Microphone Arrays.- Chap. 12 – Recognition of Multiple Speech Sources Using ICA.- Chap. 13 – Use of Missing and Unreliable Data for Audiovisual Speech Recognition.- Index.ReviewsAuthor InformationProf. Dr.-Ing. Dorothea Kolossa is a professor at the Institut für Kommunikationsakustik of the Ruhr-Universität Bochum, Germany; her research interests are automatic speech recognition, digital speech signal processing, and blind source separation. Prof. Dr.-Ing. Reinhold Haeb-Umbach heads the Dept. of Communications Engineering of the University of Paderborn, Germany; his research interest are speech signal processing and automatic speech recognition, statistical learning and pattern recognition, and signal processing for digital communications. Tab Content 6Author Website:Countries AvailableAll regions |
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