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Computational Methods For The Analysis Of Musical Structure


Computational Methods For The Analysis Of Musical Structure
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Computational Methods For The Analysis Of Musical Structure


Computational Methods For The Analysis Of Musical Structure
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Author : Craig Stuart Sapp
language : en
Publisher: Stanford University
Release Date : 2011

Computational Methods For The Analysis Of Musical Structure written by Craig Stuart Sapp and has been published by Stanford University this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


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.



Computational Methods For The Analysis Of Musical Structure


Computational Methods For The Analysis Of Musical Structure
DOWNLOAD
Author : Craig Stuart Sapp
language : en
Publisher:
Release Date : 2011

Computational Methods For The Analysis Of Musical Structure written by Craig Stuart Sapp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


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.



Computational Music Analysis


Computational Music Analysis
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Author : David Meredith
language : en
Publisher: Springer
Release Date : 2015-10-27

Computational Music Analysis written by David Meredith and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-27 with Computers categories.


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.



The Oxford Handbook Of Critical Concepts In Music Theory


The Oxford Handbook Of Critical Concepts In Music Theory
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Author : Alexander Rehding
language : en
Publisher:
Release Date : 2019

The Oxford Handbook Of Critical Concepts In Music Theory written by Alexander Rehding and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Music categories.


Music Theory operates with a number of fundamental terms that are rarely explored in detail. This book offers in-depth reflections on key concepts from a range of philosophical and critical approaches that reflect the diversity of the contemporary music theory landscape.



Advanced Computational Methods For Knowledge Engineering


Advanced Computational Methods For Knowledge Engineering
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Author : Thanh Binh Nguyen
language : en
Publisher: Springer
Release Date : 2016-05-01

Advanced Computational Methods For Knowledge Engineering written by Thanh Binh Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-01 with Technology & Engineering categories.


This proceedings consists of 20 papers which have been selected and invited from the submissions to the 4th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2016) held on 2-3 May, 2016 in Laxenburg, Austria. The conference is organized into 5 sessions: Advanced Optimization Methods and Their Applications, Models for ICT applications, Topics on discrete mathematics, Data Analytic Methods and Applications and Feature Extractio, respectively. All chapters in the book discuss theoretical and practical issues connected with computational methods and optimization methods for knowledge engineering. The editors hope that this volume can be useful for graduate and Ph.D. students and researchers in Applied Sciences, Computer Science and Applied Mathematics.



The Routledge Companion To Music Cognition


The Routledge Companion To Music Cognition
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Author : Richard Ashley
language : en
Publisher: Taylor & Francis
Release Date : 2017-06-26

The Routledge Companion To Music Cognition written by Richard Ashley and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-26 with Art categories.


WINNER OF THE SOCIETY OF MUSIC THEORY’S 2019 CITATION OF SPECIAL MERIT FOR MULTI-AUTHORED VOLUMES The Routledge Companion to Music Cognition addresses fundamental questions about the nature of music from a psychological perspective. Music cognition is presented as the field that investigates the psychological, physiological, and physical processes that allow music to take place, seeking to explain how and why music has such powerful and mysterious effects on us. This volume provides a comprehensive overview of research in music cognition, balancing accessibility with depth and sophistication. A diverse range of global scholars—music theorists, musicologists, pedagogues, neuroscientists, and psychologists—address the implications of music in everyday life while broadening the range of topics in music cognition research, deliberately seeking connections with the kinds of music and musical experiences that are meaningful to the population at large but are often overlooked in the study of music cognition. Such topics include: Music’s impact on physical and emotional health Music cognition in various genres Music cognition in diverse populations, including people with amusia and hearing impairment The relationship of music to learning and accomplishment in academics, sport, and recreation The broader sociological and anthropological uses of music Consisting of over forty essays, the volume is organized by five primary themes. The first section, "Music from the Air to the Brain," provides a neuroscientific and theoretical basis for the book. The next three sections are based on musical actions: "Hearing and Listening to Music," "Making and Using Music," and "Developing Musicality." The closing section, "Musical Meanings," returns to fundamental questions related to music’s meaning and significance, seen from historical and contemporary perspectives. The Routledge Companion to Music Cognition seeks to encourage readers to understand connections between the laboratory and the everyday in their musical lives.



Computational Methods For The Analysis Of Genomic Data And Biological Processes


Computational Methods For The Analysis Of Genomic Data And Biological Processes
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Author : Francisco A. Gómez Vela
language : en
Publisher: MDPI
Release Date : 2021-02-05

Computational Methods For The Analysis Of Genomic Data And Biological Processes written by Francisco A. Gómez Vela and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-05 with Medical categories.


In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.



Visualizing Music


Visualizing Music
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Author : Eric Isaacson
language : en
Publisher: Indiana University Press
Release Date : 2023-05-02

Visualizing Music written by Eric Isaacson and has been published by Indiana University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-02 with Music categories.


To feel the emotional force of music, we experience it aurally. But how can we convey musical understanding visually? Visualizing Music explores the art of communicating about music through images. Drawing on principles from the fields of vision science and information visualization, Eric Isaacson describes how graphical images can help us understand music. By explaining the history of music visualizations through the lens of human perception and cognition, Isaacson offers a guide to understanding what makes musical images effective or ineffective and provides readers with extensive principles and strategies to create excellent images of their own. Illustrated with over 300 diagrams from both historical and modern sources, including examples and theories from Western art music, world music, and jazz, folk, and popular music, Visualizing Music explores the decisions made around image creation. Together with an extensive online supplement and dozens of redrawings that show the impact of effective techniques, Visualizing Music is a captivating guide to thinking differently about design that will help music scholars better understand the power of musical images, thereby shifting the ephemeral to material.



Music Similarity And Retrieval


Music Similarity And Retrieval
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Author : Peter Knees
language : en
Publisher: Springer
Release Date : 2016-05-28

Music Similarity And Retrieval written by Peter Knees and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-28 with Computers categories.


This book provides a summary of the manifold audio- and web-based approaches to music information retrieval (MIR) research. In contrast to other books dealing solely with music signal processing, it addresses additional cultural and listener-centric aspects and thus provides a more holistic view. Consequently, the text includes methods operating on features extracted directly from the audio signal, as well as methods operating on features extracted from contextual information, either the cultural context of music as represented on the web or the user and usage context of music. Following the prevalent document-centered paradigm of information retrieval, the book addresses models of music similarity that extract computational features to describe an entity that represents music on any level (e.g., song, album, or artist), and methods to calculate the similarity between them. While this perspective and the representations discussed cannot describe all musical dimensions, they enable us to effectively find music of similar qualities by providing abstract summarizations of musical artifacts from different modalities. The text at hand provides a comprehensive and accessible introduction to the topics of music search, retrieval, and recommendation from an academic perspective. It will not only allow those new to the field to quickly access MIR from an information retrieval point of view but also raise awareness for the developments of the music domain within the greater IR community. In this regard, Part I deals with content-based MIR, in particular the extraction of features from the music signal and similarity calculation for content-based retrieval. Part II subsequently addresses MIR methods that make use of the digitally accessible cultural context of music. Part III addresses methods of collaborative filtering and user-aware and multi-modal retrieval, while Part IV explores current and future applications of music retrieval and recommendation.>



Mathematics And Computation In Music


Mathematics And Computation In Music
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Author : Octavio A. Agustín-Aquino
language : en
Publisher: Springer
Release Date : 2017-11-17

Mathematics And Computation In Music written by Octavio A. Agustín-Aquino and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-17 with Computers categories.


This book constitutes the thoroughly refereed proceedings of the 6th International Conference on Mathematics and Computation in Music, MCM 2017, held in Mexico City, Mexico, in June 2017. The 26 full papers and 2 short papers presented were carefully reviewed and selected from 40 submissions. The papers feature research that combines mathematics or computation with music theory, music analysis, composition, and performance. They are organized in topical sections on algebraic models, computer assisted performance, Fourier analysis, Gesture Theory, Graph Theory and Combinatorics, Machine Learning, and Probability and Statistics in Musical Analysis and Composition.