Audio Source Separation PDF
By:Shoji Makino
Published on 2018-03-01 by Springer
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.
This Book was ranked at 33 by Google Books for keyword Separation.
Book ID of Audio Source Separation's Books is ib9ODwAAQBAJ, Book which was written byShoji Makinohave ETAG "0u3B39h/CzQ"
Book which was published by Springer since 2018-03-01 have ISBNs, ISBN 13 Code is 9783319730318 and ISBN 10 Code is 3319730312
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Book which have "385 Pages" is Printed at BOOK under CategoryTechnology and Engineering
Book was written in en
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