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Audio Source Separation by Shoji Makino (English) Paperback Book

Description: Audio Source Separation by Shoji Makino Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book provides the first comprehensive overview of the fascinating topic of audio source separation based on non-negative matrix factorization, deep neural networks, and sparse component analysis. The first section of the book covers single channel source separation based on non-negative matrix factorization (NMF). After an introduction to the technique, two further chapters describe separation of known sources using non-negative spectrogram factorization, and temporal NMF models. In section two, NMF methods are extended to multi-channel source separation. Section three introduces deep neural network (DNN) techniques, with chapters on multichannel and single channel separation, and a further chapter on DNN based mask estimation for monaural speech separation. In section four, sparse component analysis (SCA) is discussed, with chapters on source separation using audio directional statistics modelling, multi-microphone MMSE-based techniques and diffusion map methods. The book brings together leading researchers to provide tutorial-like and in-depth treatments on major audio source separation topics, with the objective of becoming the definitive source for a comprehensive, authoritative, and accessible treatment. This book is written for graduate students and researchers who are interested in audio source separation techniques based on NMF, DNN and SCA. Author Biography SHOJI MAKINO (F) received the B. E., M. E., and Ph.D. degrees from Tohoku University, Japan, in 1979, 1981, and 1993, respectively. He joined NTT in 1981. He is now a Professor at University of Tsukuba. His research interests include adaptive filtering technologies, realization of acoustic echo cancellation, blind source separation of convolutive mixtures of speech, and acoustic signal processing for speech and audio applications. Dr. Makino received the IEEE SPS Best Paper Award in 2014, the IEEE MLSP Competition Award in 2007, the ICA Unsupervised Learning Pioneer Award in 2006, the Commendation for Science and Technology of Japanese Government in 2015, the TELECOM System Technology Award in 2015 and 2004, the Achievement Award of the Institute of Electronics, Information, and Communication Engineers (IEICE) in 1997, and the Outstanding Technological Development Award of the Acoustical Society of Japan (ASJ) in 1995, the Paper Award of the IEICE in 2005 and 2002, the Paper Award of the ASJ in 2005 and 2002. He is the author or co-author of more than 200 articles in journals and conference proceedings and is responsible for more than 150 patents. He was a Keynote Speaker at ICA2007 and a Tutorial speaker at EMBC 2013, Interspeech 2011 and ICASSP 2007. Dr. Makino IEEE activities include: Member, SPS Technical Directions Board (2013-14), SPS Awards Board (2006-08), SPS Conference Board (2002-04), IEEE Jack S. Kilby Signal Processing Medal Committee (2015-), IEEE James L. Flanagan Speech & Audio Processing Award Committee (2008-11) and Member and Chair, SPS Audio and Electroacoustics Technical Committee (1993-09 and 2013-14, respectively); SPS Distinguished Lecturer (2009-10); Chair, Circuits and Systems Society Blind Signal Processing Technical Committee (2009-2010); Associate Editor, IEEE Transactions on Speech and Audio Processing (2002-05) and EURASIP Journal on Advances in Signal Processing (2005-2012). He was the Vice President, Engineering Sciences Society of the IEICE (2007-08) and Chair, Engineering Acoustics Technical Committee of the IEICE (2006-08). He is a Member, International IWAENC Standing committee and International ICA Steering Committee; General Chair, WASPAA2007 and IWAENC2003; Organizing Chair, ICA2003; and Plenary Chair, ICASSP2012. Dr. Makino is an IEEE Fellow, an IEICE Fellow, a Board member of the ASJ, and a member of EURASIP and ISCA. Details ISBN 303010303X ISBN-13 9783030103033 Title Audio Source Separation Author Shoji Makino Format Paperback Year 2019 Pages 385 Publisher Springer Nature Switzerland AG GE_Item_ID:137567160; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 199.69 USD

Location: Fairfield, Ohio

End Time: 2024-12-23T03:31:48.000Z

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Audio Source Separation by Shoji Makino (English) Paperback Book

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9783030103033

Type: NA

Publication Name: NA

Book Title: Audio Source Separation

Number of Pages: VIII, 385 Pages

Language: English

Publisher: Springer International Publishing A&G

Topic: Signals & Signal Processing, Acoustics & Sound

Publication Year: 2019

Illustrator: Yes

Genre: Technology & Engineering, Science

Item Weight: 21.3 Oz

Author: Shoji Makino

Item Length: 9.3 in

Book Series: Signals and Communication Technology Ser.

Item Width: 6.1 in

Format: Trade Paperback

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