EAN: 9783319730301

AUDIO SOURCE SEPARATION GEBUNDEN

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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