Computational Music Analysis

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Publisher : Springer
ISBN 13 : 3319259318
Total Pages : 480 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Computational Music Analysis by : David Meredith

Download or read book Computational Music Analysis written by David Meredith and published by Springer. This book was released on 2015-10-27 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth introduction and overview of current research in computational music analysis. Its seventeen chapters, written by leading researchers, collectively represent the diversity as well as the technical and philosophical sophistication of the work being done today in this intensely interdisciplinary field. A broad range of approaches are presented, employing techniques originating in disciplines such as linguistics, information theory, information retrieval, pattern recognition, machine learning, topology, algebra and signal processing. Many of the methods described draw on well-established theories in music theory and analysis, such as Forte's pitch-class set theory, Schenkerian analysis, the methods of semiotic analysis developed by Ruwet and Nattiez, and Lerdahl and Jackendoff's Generative Theory of Tonal Music. The book is divided into six parts, covering methodological issues, harmonic and pitch-class set analysis, form and voice-separation, grammars and hierarchical reduction, motivic analysis and pattern discovery and, finally, classification and the discovery of distinctive patterns. As a detailed and up-to-date picture of current research in computational music analysis, the book provides an invaluable resource for researchers, teachers and students in music theory and analysis, computer science, music information retrieval and related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry.

Computational Musicology in Hindustani Music

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Publisher : Springer
ISBN 13 : 3319114727
Total Pages : 116 pages
Book Rating : 4.29/5 ( download)

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Book Synopsis Computational Musicology in Hindustani Music by : Soubhik Chakraborty

Download or read book Computational Musicology in Hindustani Music written by Soubhik Chakraborty and published by Springer. This book was released on 2014-11-27 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book opens with a short introduction to Indian music, in particular classical Hindustani music, followed by a chapter on the role of statistics in computational musicology. The authors then show how to analyze musical structure using Rubato, the music software package for statistical analysis, in particular addressing modeling, melodic similarity and lengths, and entropy analysis; they then show how to analyze musical performance. Finally, they explain how the concept of seminatural composition can help a music composer to obtain the opening line of a raga-based song using Monte Carlo simulation. The book will be of interest to musicians and musicologists, particularly those engaged with Indian music.

Music Through Fourier Space

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Publisher : Springer
ISBN 13 : 3319455818
Total Pages : 206 pages
Book Rating : 4.15/5 ( download)

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Book Synopsis Music Through Fourier Space by : Emmanuel Amiot

Download or read book Music Through Fourier Space written by Emmanuel Amiot and published by Springer. This book was released on 2016-10-26 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the state of the art in the use of the discrete Fourier transform (DFT) of musical structures such as rhythms or scales. In particular the author explains the DFT of pitch-class distributions, homometry and the phase retrieval problem, nil Fourier coefficients and tilings, saliency, extrapolation to the continuous Fourier transform and continuous spaces, and the meaning of the phases of Fourier coefficients. This is the first textbook dedicated to this subject, and with supporting examples and exercises this is suitable for researchers and advanced undergraduate and graduate students of music, computer science and engineering. The author has made online supplementary material available, and the book is also suitable for practitioners who want to learn about techniques for understanding musical notions and who want to gain musical insights into mathematical problems.

Computational Intelligence in Music, Sound, Art and Design

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Publisher : Springer
ISBN 13 : 3030166678
Total Pages : 261 pages
Book Rating : 4.70/5 ( download)

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Book Synopsis Computational Intelligence in Music, Sound, Art and Design by : Anikó Ekárt

Download or read book Computational Intelligence in Music, Sound, Art and Design written by Anikó Ekárt and published by Springer. This book was released on 2019-04-10 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoApplications. The 16 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover a wide range of topics and application areas, including: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks.

Computational Methods for the Analysis of Musical Structure

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Publisher : Stanford University
ISBN 13 :
Total Pages : 157 pages
Book Rating : 4.61/5 ( download)

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Book Synopsis Computational Methods for the Analysis of Musical Structure by : Craig Stuart Sapp

Download or read book Computational Methods for the Analysis of Musical Structure written by Craig Stuart Sapp and published by Stanford University. This book was released on 2011 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Music is an art form which is realized in time. This dissertation presents computational methods for examining the temporality of music at multiple time-scales so that both short-term surface features and deeper long-term structures can be studied and related to each other. The methods are applied in particular to musical key analysis (Chapters 2-4) and also adapted for use in performance analysis (Chapters 5-6). The essential methodology is to examine all sequential time-scales within a piece using some analytic process and then arrange a summary of the analytic results into a maximally overlapped arrangement. Chapter 2 defines a two-dimensional plotting domain for displaying musical features at all possible time-scales which forms a basis for further analysis methods. The resulting structures in the plots can be examined subjectively as a navigational aid in the music as illustrated in Chapters 3 and 5. They can also be used to extract musically relevant information as discussed in Chapters 4 and 6.

Evolutionary Computer Music

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Publisher : Springer Science & Business Media
ISBN 13 : 184628600X
Total Pages : 273 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis Evolutionary Computer Music by : Eduardo R. Miranda

Download or read book Evolutionary Computer Music written by Eduardo R. Miranda and published by Springer Science & Business Media. This book was released on 2007-10-12 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the applications of evolutionary computation to music and the tools needed to create and study such systems. These tools can be combined to create surrogate artificial worlds populated by interacting simulated organisms in which complex musical experiments can be performed. The book demonstrates that evolutionary systems can be used to create and to study musical compositions and cultures in ways that have never before been achieved.

Deep Learning Techniques for Music Generation

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Publisher : Springer
ISBN 13 : 3319701630
Total Pages : 284 pages
Book Rating : 4.39/5 ( download)

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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 284 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.

Computational Auditory Scene Analysis

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Publisher : Wiley-IEEE Press
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.65/5 ( download)

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Book Synopsis Computational Auditory Scene Analysis by : Deliang Wang

Download or read book Computational Auditory Scene Analysis written by Deliang Wang and published by Wiley-IEEE Press. This book was released on 2006-09-29 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a comprehensive and coherent account of the state of the art in CASA, in terms of the underlying principles, the algorithms and system architectures that are employed, and the potential applications of this exciting new technology.

Mathematics and Computation in Music

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Publisher : Springer
ISBN 13 : 3642393578
Total Pages : 256 pages
Book Rating : 4.70/5 ( download)

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Book Synopsis Mathematics and Computation in Music by : Jason Yust

Download or read book Mathematics and Computation in Music written by Jason Yust and published by Springer. This book was released on 2013-06-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Mathematics and Computation in Music, MCM 2013, held in Montreal, Canada, in June 2013. The 18 papers presented were carefully reviewed and selected from numerous submissions. They are promoting the collaboration and exchange of ideas among researchers in music theory, mathematics, computer science, musicology, cognition and other related fields.

Musical Creativity

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Publisher : Springer Science & Business Media
ISBN 13 : 364224517X
Total Pages : 331 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Musical Creativity by : Guerino Mazzola

Download or read book Musical Creativity written by Guerino Mazzola and published by Springer Science & Business Media. This book was released on 2011-11-03 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents a new approach to musical creativity, dealing with the semiotics, mathematical principles, and software for creativity processes. After a thorough introduction, the book offers a first practical part with a detailed tutorial for students in composition and improvisation, using musical instruments and music software. The second, theoretical part deals with historical, actual, and new principles of creative processes in music, based on the results and methods developed in the first author’s book Topos of Music and referring to semiotics, predicative objects, topos theory, and object-oriented concept architectures. The third part of the book details four case studies in musical creativity, including an analysis of the six variations of Beethoven's sonata op. 109, a discussion of the creative process in a CD coproduced in 2011 by the first and second authors, a recomposition of Boulez’s "Structures pour deux pianos" using the Rubato software module BigBang developed by the third author, and the Escher theorem from mathematical gesture theory in music. This is both a textbook addressed to undergraduate and graduate students of music composition and improvisation, and also a state-of-the-art survey addressed to researchers in creativity studies and music technology. The book contains summaries and end-of-chapter questions, and the authors have used the book as the main reference to teach an undergraduate creativity studies program and also to teach composition. The text is supported throughout with musical score examples.