Signals and Communication Technology

Preface. 1 Single Channel Audio Source Separation NMF; Cedric Fevotte, 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, Cedric Fevotte 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.