Audio Source Separation (Record no. 79066)
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000 -LEADER | |
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fixed length control field | 05024nam a22005655i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-73031-8 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801220912.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 180301s2018 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319730318 |
-- | 978-3-319-73031-8 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
245 10 - TITLE STATEMENT | |
Title | Audio Source Separation |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2018. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | VIII, 385 p. 141 illus., 74 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Signals and Communication Technology, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Preface -- 1 Single Channel Audio Source Separation NMF; Cédric Févotte, Emmanuel Vincent, and Alexey Ozerov -- 2 Separation of known sources using non-negative spectrogram factorization; Tuomas Virtanen and Tom Barker -- 3 Dynamic Non-Negative models for audio source separation; Paris Smaragdis, Gautham Mysore, Nasser Mohammadiha -- 4 An introduction to multichannel NMF for audio source separation; Alexey Ozerov, Cédric Févotte and Emmanuel Vincent -- 5 General formulation of multichannel extensions of NMF variants; Hirokazu Kameoka, Hiroshi Sawada and Takuya Higuchi -- 6 Determined Blind Source Separation with Independent Low-Rank Matrix analysis; Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka and Hiroshi Saruwatari -- 7 Deep neural network based multichannel audio source separation; Aditya Arie Nugraha, Antoine Liutkus and Emmanuel Vincent -- 8 Efficient Source separation using bitwise neural networks; Minje Kim and Paris Smaragdis -- 9 DNN based mase estimation for supervised speech separation; Jitong Chen and DeLiang Wang -- 10 Informed spatial filtering based on constrained ICA; Hendrik Barfuss, Klaus Reindl and Walter Kellermann -- 11 Recent advances in multichannel source separation and denoising based on source sparseness; Nobutaka Ito, Shoko Araki, and Tomohiro Nakatani -- 12 Multimicrophone MMSE-based speech source separation; Shmulik Markovich-Golan, Isral Cohen and Sharon Gannot -- 13 Musical-Noise-Free blind speech extraction based on higher-order statistics analysis; Hiroshi Saruwatari and Ryoichi Miyazaki -- 14 Alternating diffusion maps for audio-visual source separation; David Dov, Ronen Talmon and Israel Cohen -- Index. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Makino, Shoji. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-73031-8 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2018. |
336 ## - | |
-- | text |
-- | txt |
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-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal processing. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Acoustics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Acoustical engineering. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Speech and Image Processing . |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Acoustics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering Acoustics. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1860-4870 |
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-- | ZDB-2-ENG |
912 ## - | |
-- | ZDB-2-SXE |
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