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| Artikel-Nr.: 5667A-9783030103033 Herst.-Nr.: 9783030103033 EAN/GTIN: 9783030103033 |
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![](/p.gif) | 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. Weitere Informationen: ![](/p.gif) | ![](/p.gif) | Author: | Shoji Makino | Verlag: | Springer International Publishing | Sprache: | eng |
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![](/p.gif) | Weitere Suchbegriffe: allgemeine technikbücher - englischsprachig, audio source separation methods, non-negative matrix factorization (NMF), deep neural networks (DNN) for source separation, sparse component analysis (SCA), non-negative spectrogram factorization, multi-channel source separation, audio directional statistics modelling, DNN based mask estimation, monaural speech separation, multi-microphone MMSE-based techniques |
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