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OverviewFull Product DetailsAuthor: Visar Berisha , Steven Sandoval , Julie LissPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Weight: 0.179kg ISBN: 9783031003936ISBN 10: 3031003934 Pages: 71 Publication Date: 13 November 2013 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. Language: English Table of ContentsReviewsAuthor InformationVisar Berisha is an Assistant Professor with a joint appointment in the Department of Speech and Hearing Science and the School of Electrical, Computer, and Energy Engineering at Arizona State University. His research interests fall mainly in the field of speech and audio perception, signal processing, and machine learning. He obtained his Ph.D. in Electrical Engineering at Arizona State University. Following his degree, he worked at MIT Lincoln Laboratory and Raytheon Co. as research engineerSteven Sandoval received a B.S. Electrical Engineering in 2007 and his M.S. Electrical Engineering in 2010 from the Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM. He previously worked for five years as a system analyst for a defense contractor. He is presently working on his Ph.D. degree in electrical engineering in the Ira A. Fulton Schools of Engineering, SenSIP Center, Arizona State University, Tempe, AZ. His research interests include signalprocessing, specifically audio and speech processing, timefrequency analysis, machine learning, and robotics.Julie Liss is a Professor in the Department of Speech and Hearing Science. She is Director of the Motor Speech Disorders Lab where she conducts research on the perception of degraded speech. Her interest is in modeling the cognitive-perceptual strategies involved in deciphering degraded speech to further elucidate the construct of speech intelligibility. She and Dr. Berisha work collaboratively to apply signal processing methodology to issues intelligibility in clinical populations Tab Content 6Author Website:Countries AvailableAll regions |