Audio Source Separation

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Makino, Shoji (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Signals and Communication Technology,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.