Methods of Computer-assisted Music Analysis PDF Download

Author: Nico Stephan Schuler
Publisher:
ISBN:
Category : Music theory
Languages : en
Pages : 716

View

Book Description

Author: Ambuja Salgaonkar
Publisher: Springer Nature
ISBN: 9819908876
Category : Technology & Engineering
Languages : en
Pages : 243

View

Book Description
This book is intended for researchers interested in using computational methods and tools to engage with music, dance and theatre. The chapters have evolved out of presentations and deliberations at an international workshop entitled Computer Assisted Music and Dramatics: Possibilities and Challenges organized by University of Mumbai in honour of Professor Hari Sahasrabuddhe, a renowned educator and a pioneering computational musicologist (CM) of Indian classical music. The workshop included contributions from CM as well as musicians with a special focus on South Asian arts. The case studies and reflective essays here are based on analyses of genres, practices and theoretical constructs modelled computationally. They offer a balanced and complementary perspective to help innovation in the synthesis of music by extracting information from recorded performances. This material would be of interest to scholars of the sciences and humanities and facilitate exchanges and generation of ideas.

Author: Nico Schüler
Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften
ISBN:
Category : Music
Languages : de
Pages : 192

View

Book Description
At the conference «Musicology 1966-2000: A Practical Program, » on May 26, 1966, Jan LaRue speculated «that computer analysis will become one of the most important directions in musicology for the next generation...» Having passed the year 2000, we have to realize that LaRue's prediction did not come true: neither for computer-assisted music analysis, nor for computer-applications in music research in general. This volume is intended to initiate a more critical discussion of computer-applications in music research and to present concepts, methods, and results of newest research in this area.

Author: Susanna Király
Publisher: BoD - Books on Demand
ISBN: 9523307886
Category :
Languages : en
Pages : 266

View

Book Description
My doctoral thesis has involved two related tasks. The first was to analyse Zoltán Kodály’s philosophy of music education and, on this basis, to develop a computer-assisted instruction method (CAI) for teaching music theory and solfège (ear-training). The second task was to experiment with the effectiveness of this method and compare it with traditional approaches to teaching. Many student find music theory and ear training difficult. During the 1990s, in connection with my licentiate thesis “Solfège in the Computer Classroom” (2000), I initiated this research project, and developed a CAI method for teaching music theory and solfège. I wanted to see just how useful Kodály’s approach could be in computer-aided teaching and learning. The results show that the Kodály approach can be successfully applied to the development of a computer-aided solfège programme and the Kodály system is applicable to new learning environments and teaching practices. In music education CAI is an area with great potential for development. It offers multiple learning options and can enhance students’ motivation to study music theory and ear-training; some of the learning outcomes were even better than with the traditional ways of learning. The results also show, however, that the teacher-pupil interaction is essential in a computer-aided learning programme.

Author: Nico Schüler
Publisher:
ISBN:
Category :
Languages : en
Pages : 150

View

Book Description

Author: Charles George Boody
Publisher:
ISBN:
Category : Computer music
Languages : en
Pages : 400

View

Book Description

Author: David Meredith
Publisher: Springer
ISBN: 3319259318
Category : Computers
Languages : en
Pages : 483

View

Book Description
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.

Author: Nico Schüler
Publisher: Methodology of Music Research
ISBN: 9783631397640
Category : Musical analysis
Languages : en
Pages : 0

View

Book Description
A series of articles, each with an extensive bibliography, provides historical and critical reflections on developments of computer-assisted music analysis up to the 1970s. The source materials consist of hundreds of published and unpublished writings from around the world. An alphabetical and a chronological bibliography are also provided.

Author: Alexander R. Brinkman
Publisher: University of Chicago Press
ISBN: 9780226075075
Category : Computers
Languages : en
Pages : 1000

View

Book Description
Pascal Programming for Music Research addresses those who wish to develop the programming skills necessary for doing computer-assisted music research, particularly in the fields of music theory and musicology. Many of the programming techniques are also applicable to computer assisted instruction (CAI), composition, and music synthesis. The programs and techniques can be implemented on personal computers or larger computer systems using standard Pascal compilers and will be valuable to anyone in the humanities creating data bases. Among its useful features are: -complete programs, from simple illustrations to substantial applications; -beginning programming through such advanced topics as linked data structures, recursive algorithms, DARMS translation, score processing; -bibliographic references at the end of each chapter to pertinent sources in music theory, computer science, and computer applications in music; -exercises which explore and extend topics discussed in the text; -appendices which include a DARMS translator and a library of procedures for building and manipulating a linked representation of scores; -most algorithms and techniques that are given in Pascal programming translate easily to other computer languages. Beginning, as well as advanced, programmers and anyone interested in programming music applications will find this book to be an invaluable resource.

Author: Octavio A. Agustín-Aquino
Publisher: Springer
ISBN: 3319718274
Category : Computers
Languages : en
Pages : 375

View

Book Description
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.