EAN: 9783319730301

Bilder-Quelle: shopping24.de – Sport

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.

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25.06.2026 um 10:15 Uhr

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