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

Author : Feng Li
Publisher : Scientific Research Publishing, Inc. USA
Page : 204 pages
File Size : 46,7 Mb
Release : 2020-12-31
Category : Antiques & Collectibles
ISBN : 9781649970527

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

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.

Author : Li Feng, Sr.
Publisher : Unknown
Page : 128 pages
File Size : 46,9 Mb
Release : 2020-12
Category : Electronic
ISBN : 164997051X

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

Author : Petr Tichavský,Massoud Babaie-Zadeh,Olivier J.J. Michel,Nadège Thirion-Moreau
Publisher : Springer
Page : 578 pages
File Size : 47,8 Mb
Release : 2017-02-13
Category : Computers
ISBN : 9783319535470

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Latent Variable Analysis and Signal Separation by Petr Tichavský,Massoud Babaie-Zadeh,Olivier J.J. Michel,Nadège Thirion-Moreau Pdf

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.

Author : Jen-Tzung Chien
Publisher : Academic Press
Page : 384 pages
File Size : 44,7 Mb
Release : 2018-11-01
Category : Technology & Engineering
ISBN : 9780128045770

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Source Separation and Machine Learning by Jen-Tzung Chien Pdf

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

Author : Xi Shao,Kun Qian,Xin Wang,Kejun Zhang
Publisher : Springer Nature
Page : 149 pages
File Size : 55,7 Mb
Release : 2022-08-31
Category : Technology & Engineering
ISBN : 9789811947032

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Proceedings of the 9th Conference on Sound and Music Technology by Xi Shao,Kun Qian,Xin Wang,Kejun Zhang Pdf

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).

Author : Jean-Pierre Briot,Gaëtan Hadjeres,François-David Pachet
Publisher : Springer
Page : 284 pages
File Size : 45,5 Mb
Release : 2019-11-08
Category : Computers
ISBN : 9783319701639

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Deep Learning Techniques for Music Generation by Jean-Pierre Briot,Gaëtan Hadjeres,François-David Pachet Pdf

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.

Author : Shoji Makino
Publisher : Springer
Page : 389 pages
File Size : 51,7 Mb
Release : 2018-03-01
Category : Technology & Engineering
ISBN : 9783319730318

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Audio Source Separation by Shoji Makino Pdf

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.

Author : Anonim
Publisher : Unknown
Page : 394 pages
File Size : 48,6 Mb
Release : 1887
Category : Elocution
ISBN : OSU:32435080318728

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The Voice by Anonim Pdf

Author : Anonim
Publisher : Unknown
Page : 512 pages
File Size : 48,5 Mb
Release : 1887
Category : Speech
ISBN : CORNELL:31924078250234

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Werner's Voice Magazine by Anonim Pdf

Author : Edgar S. Werner
Publisher : Unknown
Page : 234 pages
File Size : 41,9 Mb
Release : 1888
Category : Elocution
ISBN : CHI:096511366

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Werner's Magazine by Edgar S. Werner Pdf

Author : Anonim
Publisher : Unknown
Page : 526 pages
File Size : 43,9 Mb
Release : 1887
Category : Elocution
ISBN : UOM:39015025422448

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Werner's Magazine by Anonim Pdf

Author : Anonim
Publisher : Unknown
Page : 812 pages
File Size : 55,9 Mb
Release : 1862
Category : Electronic
ISBN : PRNC:32101074880269

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The London Review and Weekly Journal of Politics, Literature, Art, & Society by Anonim Pdf

Author : John S Dwight
Publisher : BoD – Books on Demand
Page : 442 pages
File Size : 50,6 Mb
Release : 2022-07-30
Category : Fiction
ISBN : 9783368121327

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Dwight's journal of music by John S Dwight Pdf

Reprint of the original, first published in 1871.

Author : Day Otis Kellogg,Thomas Spencer Baynes,William Robertson Smith
Publisher : Unknown
Page : 928 pages
File Size : 53,7 Mb
Release : 1902
Category : Encyclopedias and dictionaries
ISBN : STANFORD:36105117813944

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The Encyclopaedia Britannica by Day Otis Kellogg,Thomas Spencer Baynes,William Robertson Smith Pdf

Author : Anonim
Publisher : Unknown
Page : 448 pages
File Size : 45,5 Mb
Release : 1869
Category : Music
ISBN : NYPL:33433004349696

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Dwight's Journal of Music by Anonim Pdf