Melodic Similarity : concepts, procedures, and applications
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書誌事項
Melodic Similarity : concepts, procedures, and applications
（Computing in musicology, v.11）
MIT Press , CCARH, 1998
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Include bibliographical references and index
内容説明・目次
内容説明
This volume covers a wide range of approaches to fundamental questions about music, such as: What is similarity in music? How do we recognize it? How can we program computers to recognize it? Topics include concepts and procedures, tools and applications, human melodic judgments, and online tools for melodic searching. The contributors draw on theoretical approaches and practical results from computer science and network models, folk-music archives and bibliographical collaborations, algorithmic composition, classical-music history, ethnomusicology and social psychology, and case law in claims of popular music plagiarism.Contributors : David Bainbridge, David Cope, Tim Crawford, Charles Cronin, Ewa Dahlig, Dominik Hrnel, John Howard, Costas S. Iliopoulos, Andreas Kornstdt, Rodger J. McNab, Nigel Nettheim, Donncha Maidn, Rajeev Raman, Helmut Schaffrath, Eleanor Selfridge-Field, Lloyd A. Smith, Ian H. Witten, Masato Yako.Computing in Musicology 11
目次
- Part 1 Concepts and procedures: conceptual and representational issues in melodic comparison - concepts of melody, searchable representations of pitch, searchable representations of duration and accent, strategies for multi-dimensional data comparison, prototypes, reductions and similarity searches, conclusions, Eleanor Selfridge-Field
- a geometrical algorithm for melodic difference - general properties of a difference algorithm, implementation, Donncha O. Maidin
- string-matching techniques for musical similarity and melodic recognition - string-matching problems in musical analysis, exact-match algorithms, inexact-match algorithms, musical examples, Tim Crawford et al
- sequence-based melodic comparison - a dynamic-programming approach - previous research in the field, sequence-comparison using dynamic programming, algorithms for melodic comparison, additional operations for comparing music, effect of music representation and match parameters, a sample application -retrieving tunes from folksong databases, conclusion, Lloyd A. Smith et al
- strategies for sorting musical incipits - potentials and practicalities, the Frankfurt experience, the Harvard experience, John Howard
- signatures and earmarks - computer recognition of patterns in music - signatures, earmarks, David Cope. Part 2 Tools and applications: a multi-scale neural-network model for learning and reproducing chorale variations -background, task description, a multi-scale neural network model, motivic classification and recognition, network structure, intervallic representation, system performance, conclusions, Dominik Hornel
- melodic pattern-detection using "musearch" in Schubert's "Die Schone Mullerin" - the "musearch" programme, musical examples, conclusions, Nigel Netheim
- rhythmic elements of melodic process in "Nagauta" Shamisen music - Shamisen music of the Edo era, towards a catalogue of melodic types, classification of rhythmic patterns, observations on "Nagauta" Shamisen rhythmic patterns and features of melodic process, summary of results, Masato Yako. Part 3 Human melodic judgements: concepts of melodic similarity in music-copyright infringement suits - fundamentals, demonstrating melodic similarity, some case decisions, conclusion, Charles Cronin
- judgements of human and machine authorship in real and artificial folksongs - correlations of judgement with musical features, correlations of judgement with social factors, Ewa Dahlig and Helmut Schaffrath. Part 4 Online tools for melodic searching: MELDEX - a web-based melodic index search - databases, software, search algorithm, the New Zealand digital library project, David Bainbridge
- "themefinder" - a web-based melodic search tool - using "themefinder", list of features, technical background, future plans, Andreas Kornstadt.
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