Source Separation and Machine Learning

Written By Jen-Tzung Chien
Source Separation and Machine Learning
  • Publsiher : Academic Press
  • Release : 01 November 2018
  • ISBN : 0128045779
  • Pages : 384 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Source Separation and Machine Learning written by Jen-Tzung Chien which was release on 01 November 2018, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: 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
  • Release Date : 2018-11-01
  • Total pages : 384
  • ISBN : 0128045779
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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 ...

Audio Source Separation and Speech Enhancement

Audio Source Separation and Speech Enhancement
  • Author : Emmanuel Vincent,Tuomas Virtanen,Sharon Gannot
  • Publisher : John Wiley & Sons
  • Release Date : 2018-10-22
  • Total pages : 504
  • ISBN : 0128045779
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Summary : 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 ...

Unsupervised Signal Processing

Unsupervised Signal Processing
  • Author : João Marcos Travassos Romano,Romis Attux,Charles Casimiro Cavalcante,Ricardo Suyama
  • Publisher : CRC Press
  • Release Date : 2018-09-03
  • Total pages : 340
  • ISBN : 0128045779
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Summary : 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 ...

Independent Component Analysis and Signal Separation

Independent Component Analysis and Signal Separation
  • Author : Mike E. Davies,Christopher C. James,Samer A. Abdallah,Mark D. Plumbley
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-08-28
  • Total pages : 847
  • ISBN : 0128045779
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Summary : This book constitutes the refereed proceedings of the 7th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2007, held in London, UK, in September 2007. It covers algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing....

Nonlinear Blind Source Separation and Blind Mixture Identification

Nonlinear Blind Source Separation and Blind Mixture Identification
  • Author : Yannick Deville
  • Publisher : Springer Nature
  • Release Date : 2021-05-15
  • Total pages : 212
  • ISBN : 0128045779
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Summary : Download or read online Nonlinear Blind Source Separation and Blind Mixture Identification written by Yannick Deville, published by Springer Nature which was released on . Get Nonlinear Blind Source Separation and Blind Mixture Identification Books now! Available in PDF, ePub and Kindle....

Machine Learning ECML 2007

Machine Learning  ECML 2007
  • Author : Joost N. Kok,Jacek Koronacki,Ramon Lopez de Mantaras,Stan Matwin,Dunja Mladenic
  • Publisher : Springer
  • Release Date : 2007-09-08
  • Total pages : 812
  • ISBN : 0128045779
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Summary : This book constitutes the refereed proceedings of the 18th European Conference on Machine Learning, ECML 2007, held in Warsaw, Poland, September 2007, jointly with PKDD 2007. The 41 revised full papers and 37 revised short papers presented together with abstracts of four invited talks were carefully reviewed and selected from 592 abstracts submitted to both, ECML ...

Independent Component Analysis and Signal Separation

Independent Component Analysis and Signal Separation
  • Author : Tulay Adali,Christian Jutten,Joao Marcos Travassos Romano,Allan Kardec Barros
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-02-25
  • Total pages : 785
  • ISBN : 0128045779
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Summary : This volume contains the papers presented at the 8th International Conf- ence on Independent Component Analysis (ICA) and Source Separation held in Paraty, Brazil, March 15–18, 2009. This year's event resulted from scienti?c collaborations between a team of researchers from ?ve di?erent Brazilian u- versities and received the support of ...

Handbook of Blind Source Separation

Handbook of Blind Source Separation
  • Author : Pierre Comon,Christian Jutten
  • Publisher : Academic Press
  • Release Date : 2010-02-17
  • Total pages : 856
  • ISBN : 0128045779
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Summary : 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 ...

Independent Component Analysis and Blind Signal Separation

Independent Component Analysis and Blind Signal Separation
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2004
  • Total pages : 212
  • ISBN : 0128045779
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Summary : Download or read online Independent Component Analysis and Blind Signal Separation written by , published by which was released on 2004. Get Independent Component Analysis and Blind Signal Separation Books now! Available in PDF, ePub and Kindle....

Contrast Properties of Entropic Criteria for Blind Source Separation

Contrast Properties of Entropic Criteria for Blind Source Separation
  • Author : Frédéric Vrins
  • Publisher : Presses univ. de Louvain
  • Release Date : 2007
  • Total pages : 306
  • ISBN : 0128045779
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Summary : In the recent years, Independent Component Analysis has become a fundamental tool in signal and data processing, especially in the field of Blind Source Separation (BSS); under mild conditions, independent source signals can be recovered from mixtures of them by maximizing a so-called contrast function. Neither the mixing system nor ...

Machine Learning Algorithms for Problem Solving in Computational Applications Intelligent Techniques

Machine Learning Algorithms for Problem Solving in Computational Applications  Intelligent Techniques
  • Author : Kulkarni, Siddhivinayak
  • Publisher : IGI Global
  • Release Date : 2012-06-30
  • Total pages : 464
  • ISBN : 0128045779
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Summary : Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world ...

Self Organising Neural Networks

Self Organising Neural Networks
  • Author : Mark Girolami
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 271
  • ISBN : 0128045779
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Summary : The conception of fresh ideas and the development of new techniques for Blind Source Separation and Independent Component Analysis have been rapid in recent years. It is also encouraging, from the perspective of the many scientists involved in this fascinating area of research, to witness the growing list of successful ...

Journal of Machine Learning Research

Journal of Machine Learning Research
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2007
  • Total pages : 212
  • ISBN : 0128045779
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Summary : Download or read online Journal of Machine Learning Research written by , published by which was released on 2007. Get Journal of Machine Learning Research Books now! Available in PDF, ePub and Kindle....

Machine Audition Principles Algorithms and Systems

Machine Audition  Principles  Algorithms and Systems
  • Author : Wang, Wenwu
  • Publisher : IGI Global
  • Release Date : 2010-07-31
  • Total pages : 554
  • ISBN : 0128045779
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Summary : Machine audition is the study of algorithms and systems for the automatic analysis and understanding of sound by machine. It has recently attracted increasing interest within several research communities, such as signal processing, machine learning, auditory modeling, perception and cognition, psychology, pattern recognition, and artificial intelligence. However, the developments made ...

Independent Component Analyses Wavelets and Neural Networks

Independent Component Analyses  Wavelets  and Neural Networks
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2003
  • Total pages : 212
  • ISBN : 0128045779
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Summary : Download or read online Independent Component Analyses Wavelets and Neural Networks written by , published by which was released on 2003. Get Independent Component Analyses Wavelets and Neural Networks Books now! Available in PDF, ePub and Kindle....