Separation Of Singing Voice From Music Using Extended Robust Principle Component Analysis And Deep Learning

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Separation of Singing Voice from Music Using Extended Robust Principle Component Analysis and Deep Learning

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Author : Feng Li
Publisher : Scientific Research Publishing, Inc. USA
ISBN 13 : 1649970528
Total Pages : 204 pages
Book Rating : 4.6/5 (499 download)

Book Synopsis Separation of Singing Voice from Music Using Extended Robust Principle Component Analysis and Deep Learning by : Feng Li

Download or read book Separation of Singing Voice from Music Using Extended Robust Principle Component Analysis and Deep Learning written by Feng Li and published by Scientific Research Publishing, Inc. USA. This book was released on 2020-12-31 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes two extensions of the effective optimization algorithms concentrating on RPCA and Fusion-Net for singing voice separation. One is using different weighted value for describing the separated low-rank matrix. The other is exploring rank-1 constraint minimization of singular value in RPCA. In terms of source-to-artifact ratio, the previous is better than the later. However, CRPCA obtains better separation quality than WRPCA in singing voice separation. The outcomes of this research contribute to further improving the technologies related to music information retrieval. Additionally, the potential contribution of this research is to deal with the problems of noise reduction and speech enhancement by using the separated lowrank and sparse model. Since the background noise is assumed as the part of low-rank component and the human speech is regarded as the part of sparse component.

Separation of Singing Voice from Music Using Extended Robust Principle Component Analysis and Deep Learning

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Author : Li Feng, Sr.
Publisher :
ISBN 13 : 9781649970510
Total Pages : pages
Book Rating : 4.9/5 (75 download)

Book Synopsis Separation of Singing Voice from Music Using Extended Robust Principle Component Analysis and Deep Learning by : Li Feng, Sr.

Download or read book Separation of Singing Voice from Music Using Extended Robust Principle Component Analysis and Deep Learning written by Li Feng, Sr. and published by . This book was released on 2020-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Latent Variable Analysis and Signal Separation

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Author : Petr Tichavský
Publisher : Springer
ISBN 13 : 3319535471
Total Pages : 578 pages
Book Rating : 4.3/5 (195 download)

Book Synopsis Latent Variable Analysis and Signal Separation by : Petr Tichavský

Download or read book Latent Variable Analysis and Signal Separation written by Petr Tichavský and published by Springer. This book was released on 2017-02-13 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing.

Source Separation and Machine Learning

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Author : Jen-Tzung Chien
Publisher : Academic Press
ISBN 13 : 0128045779
Total Pages : 386 pages
Book Rating : 4.1/5 (28 download)

Book Synopsis Source Separation and Machine Learning by : Jen-Tzung Chien

Download or read book Source Separation and Machine Learning written by Jen-Tzung Chien and published by Academic Press. This book was released on 2018-10-16 with total page 386 pages. Available in PDF, EPUB and Kindle. 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

Proceedings of the 9th Conference on Sound and Music Technology

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Author : Xi Shao
Publisher : Springer Nature
ISBN 13 : 9811947031
Total Pages : 149 pages
Book Rating : 4.8/5 (119 download)

Book Synopsis Proceedings of the 9th Conference on Sound and Music Technology by : Xi Shao

Download or read book Proceedings of the 9th Conference on Sound and Music Technology written by Xi Shao and published by Springer Nature. This book was released on 2022-08-31 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected papers at the 9th Conference on Sound and Music Technology (CSMT) held virtually in June 2022, organized by Zhejiang University, China. CSMT is a multidisciplinary conference focusing on audio processing and understanding with bias on music and acoustic signals. The primary aim of the conference is to promote the collaboration between art society and technical society in China. In this book, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning, and signal processing for advanced medical diagnosis and treatment applications, which demonstrates the target of CSMT merging arts and science research together. Its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI).

Audio Source Separation

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Author : Shoji Makino
Publisher : Springer
ISBN 13 : 3319730312
Total Pages : 389 pages
Book Rating : 4.3/5 (197 download)

Book Synopsis Audio Source Separation by : Shoji Makino

Download or read book Audio Source Separation written by Shoji Makino and published by Springer. This book was released on 2018-03-01 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Deep Learning Techniques for Music Generation

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Author : Jean-Pierre Briot
Publisher : Springer
ISBN 13 : 3319701630
Total Pages : 303 pages
Book Rating : 4.3/5 (197 download)

Book Synopsis Deep Learning Techniques for Music Generation by : Jean-Pierre Briot

Download or read book Deep Learning Techniques for Music Generation written by Jean-Pierre Briot and published by Springer. This book was released on 2019-11-08 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.

Robust Automatic Speech Recognition

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Author : Jinyu Li
Publisher : Academic Press
ISBN 13 : 0128026162
Total Pages : 308 pages
Book Rating : 4.1/5 (28 download)

Book Synopsis Robust Automatic Speech Recognition by : Jinyu Li

Download or read book Robust Automatic Speech Recognition written by Jinyu Li and published by Academic Press. This book was released on 2015-10-30 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications.The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided.The reader will: - Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognition - Learn the links and relationship between alternative technologies for robust speech recognition - Be able to use the technology analysis and categorization detailed in the book to guide future technology development - Be able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition - The first book that provides a comprehensive review on noise and reverberation robust speech recognition methods in the era of deep neural networks - Connects robust speech recognition techniques to machine learning paradigms with rigorous mathematical treatment - Provides elegant and structural ways to categorize and analyze noise-robust speech recognition techniques - Written by leading researchers who have been actively working on the subject matter in both industrial and academic organizations for many years

Speech Enhancement

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Author : Shoji Makino
Publisher : Springer Science & Business Media
ISBN 13 : 9783540240396
Total Pages : 432 pages
Book Rating : 4.2/5 (43 download)

Book Synopsis Speech Enhancement by : Shoji Makino

Download or read book Speech Enhancement written by Shoji Makino and published by Springer Science & Business Media. This book was released on 2005 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc.) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology. The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field. TOC:Introduction.- Study of the Wiener Filter for Noise Reduction.- Statistical Methods for the Enhancement of Noisy Speech.- Single- und Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model.- From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals.- Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation.- Signal Subspace Techniques for Speech Enhancement.- Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework.- Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction.- Adpative Microphone Arrays Employing Spatial Quadratic Soft Constraints and Spectral Shaping.- Single-Microphone Blind Dereverberation.- Separation and Dereverberation of Speech Signals with Multiple Microphones.- Frequency-Domain Blind Source Separation.- Subband Based Blind Source Separation.- Real-Time Blind Source Separation for Moving Speech Signals.- Separation of Speech by Computational Auditory Scene Analysis

How Learning Works

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Author : Susan A. Ambrose
Publisher : John Wiley & Sons
ISBN 13 : 0470617608
Total Pages : 336 pages
Book Rating : 4.4/5 (76 download)

Book Synopsis How Learning Works by : Susan A. Ambrose

Download or read book How Learning Works written by Susan A. Ambrose and published by John Wiley & Sons. This book was released on 2010-04-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning

Timing and Time Perception: Procedures, Measures, & Applications

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Author :
Publisher : BRILL
ISBN 13 : 9004280200
Total Pages : 372 pages
Book Rating : 4.0/5 (42 download)

Book Synopsis Timing and Time Perception: Procedures, Measures, & Applications by :

Download or read book Timing and Time Perception: Procedures, Measures, & Applications written by and published by BRILL. This book was released on 2018-04-10 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Timing and Time Perception: Procedures, Measures, and Applications is a one-of-a-kind, collective effort to present the most utilized and known methods on timing and time perception. Specifically, it covers methods and analysis on circadian timing, synchrony perception, reaction/response time, time estimation, and alternative methods for clinical/developmental research. The book includes experimental protocols, programming code, and sample results and the content ranges from very introductory to more advanced so as to cover the needs of both junior and senior researchers. We hope that this will be the first step in future efforts to document experimental methods and analysis both in a theoretical and in a practical manner. Contributors are: Patricia V. Agostino, Rocío Alcalá-Quintana, Fuat Balcı, Karin Bausenhart, Richard Block, Ivana L. Bussi, Carlos S. Caldart, Mariagrazia Capizzi, Xiaoqin Chen, Ángel Correa, Massimiliano Di Luca, Céline Z. Duval, Mark T. Elliott, Dagmar Fraser, David Freestone, Miguel A. García-Pérez, Anne Giersch, Simon Grondin, Nori Jacoby, Florian Klapproth, Franziska Kopp, Maria Kostaki, Laurence Lalanne, Giovanna Mioni, Trevor B. Penney, Patrick E. Poncelet, Patrick Simen, Ryan Stables, Rolf Ulrich, Argiro Vatakis, Dominic Ward, Alan M. Wing, Kieran Yarrow, and Dan Zakay.

Blind Speech Separation

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Author : Shoji Makino
Publisher : Springer Science & Business Media
ISBN 13 : 1402064799
Total Pages : 439 pages
Book Rating : 4.4/5 (2 download)

Book Synopsis Blind Speech Separation by : Shoji Makino

Download or read book Blind Speech Separation written by Shoji Makino and published by Springer Science & Business Media. This book was released on 2007-09-07 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the world’s first edited book on independent component analysis (ICA)-based blind source separation (BSS) of convolutive mixtures of speech. This book brings together a small number of leading researchers to provide tutorial-like and in-depth treatment on major ICA-based BSS topics, with the objective of becoming the definitive source for current, comprehensive, authoritative, and yet accessible treatment.

Ebony

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Author :
Publisher :
ISBN 13 :
Total Pages : 288 pages
Book Rating : 4./5 ( download)

Book Synopsis Ebony by :

Download or read book Ebony written by and published by . This book was released on 2005-11 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: EBONY is the flagship magazine of Johnson Publishing. Founded in 1945 by John H. Johnson, it still maintains the highest global circulation of any African American-focused magazine.

Bulletin of the Atomic Scientists

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Author :
Publisher :
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4./5 ( download)

Book Synopsis Bulletin of the Atomic Scientists by :

Download or read book Bulletin of the Atomic Scientists written by and published by . This book was released on 1979-03 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Voice

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Author :
Publisher :
ISBN 13 :
Total Pages : 394 pages
Book Rating : 4.3/5 (243 download)

Book Synopsis The Voice by :

Download or read book The Voice written by and published by . This book was released on 1887 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Werner's Voice Magazine

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Author :
Publisher :
ISBN 13 :
Total Pages : 512 pages
Book Rating : 4.E/5 ( download)

Book Synopsis Werner's Voice Magazine by :

Download or read book Werner's Voice Magazine written by and published by . This book was released on 1887 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Werner's Magazine

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Author : Edgar S. Werner
Publisher :
ISBN 13 :
Total Pages : 234 pages
Book Rating : 4.0/5 (965 download)

Book Synopsis Werner's Magazine by : Edgar S. Werner

Download or read book Werner's Magazine written by Edgar S. Werner and published by . This book was released on 1888 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: