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710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
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008			180301s2018 gw | s |||| 0|eng d
020			_a9783319730318
024	7		_a10.1007/978-3-319-73031-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7882.S65 _b2018 EB
245	0	0	_aAudio Source Separation _cedited by Shoji Makino
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (VIII, 385 páginas) _bilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSignals and Communication Technology, _x1860-4862
490	0		_aEngineering (Springer-11647)
505	0		_aPreface -- 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	3		_aThis 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.
988			_aEBSPRINGER_2018
650		7	_2embne _aReconocimiento automático del lenguaje _9147323
650		7	_2embne _aAcústica _9138038
700	1		_aMakino, S. _q(Shoji) _0http://id.loc.gov/authorities/names/no2005061357 _1http://viaf.org/viaf/186791764/
776	0	8	_iEdición impresa: _z9783319730301
776	0	8	_iEdición impresa: _z9783319730325
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-73031-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2020 _dz _ek _zSI