Source Separation and Machine Learning
  • Author : Jen-Tzung Chien
  • Release Date : 01 November 2018
  • Publisher : Academic Press
  • Genre : Technology & Engineering
  • Pages : 384
  • ISBN 13 : 9780128045770

Source Separation and Machine Learning Book Summary

Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a whole system. Looking at different models, including independent component analysis (ICA), nonnegative matrix factorization (NMF), nonnegative tensor factorization (NTF), and deep neural network (DNN), the book addresses how they have evolved to deal with multichannel and single-channel source separation. Emphasizes the modern model-based Blind Source Separation (BSS) which closely connects the latest research topics of BSS and Machine Learning Includes coverage of Bayesian learning, sparse learning, online learning, discriminative learning and deep learning Presents a number of case studies of model-based BSS (categorizing them into four modern models - ICA, NMF, NTF and DNN), using a variety of learning algorithms that provide solutions for the construction of BSS systems

Source Separation and Machine Learning

Source Separation and Machine Learning

Author : Jen-Tzung Chien
Publisher : Academic Press
Genre : Technology & Engineering
Total View : 6571 Views
File Size : 49,6 Mb
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Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS ...

Audio Source Separation

Audio Source Separation

Author : Shoji Makino
Publisher : Springer
Genre : Technology & Engineering
Total View : 4568 Views
File Size : 41,7 Mb
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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, ...

Handbook of Blind Source Separation

Handbook of Blind Source Separation

Author : Pierre Comon,Christian Jutten
Publisher : Academic Press
Genre : Technology & Engineering
Total View : 4971 Views
File Size : 54,5 Mb
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Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of ...

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Author : João Marcos Travassos Romano,Romis Attux,Charles Casimiro Cavalcante,Ricardo Suyama
Publisher : CRC Press
Genre : Computers
Total View : 2415 Views
File Size : 42,6 Mb
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Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope that covers several topics, from well-established ...

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Python Machine Learning Cookbook

Author : Prateek Joshi
Publisher : Packt Publishing Ltd
Genre : Computers
Total View : 3377 Views
File Size : 47,6 Mb
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100 recipes that teach you how to perform various machine learning tasks in the real world About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide Learn about perceptrons and see how they are used to build neural networks Stuck while ...

Source Separation and Machine Learning

Source Separation and Machine Learning

Author : Jen-Tzung Chien
Publisher : Academic Press
Genre : Technology & Engineering
Total View : 7321 Views
File Size : 48,5 Mb
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Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS ...

Blind Source Separation

Blind Source Separation

Author : Ganesh R. Naik,Wenwu Wang
Publisher : Springer
Genre : Technology & Engineering
Total View : 3982 Views
File Size : 42,7 Mb
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Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals ...

Audio Source Separation and Speech Enhancement

Audio Source Separation and Speech Enhancement

Author : Emmanuel Vincent,Tuomas Virtanen,Sharon Gannot
Publisher : John Wiley & Sons
Genre : Technology & Engineering
Total View : 5421 Views
File Size : 48,5 Mb
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Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role ...