Table of Contents of Computing in Musicology, Vol. 11

Volume: [ 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 ]

Contents: [ 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 ]

I. Concepts and Procedures

Conceptual and Representational Issues in Melodic Comparison: Eleanor Selfridge-Field, CCARH, Stanford University
A Geometrical Algorithm for Melodic Difference: Donncha Ó Maidín, University of Limerick, Ireland
String-Matching Techniques for Musical Similarity and Melodic Recognition: Tim Crawford, Costas S. Iliopoulos, and Rajeev Raman, King's College, London, UK
Sequence-Based Melodic Comparison: A Dynamic-Programming Approach: Lloyd A. Smith, Rodger J. McNab, and Ian H. Witten, University of Waikato, NZ.
Strategies for Sorting Musical Incipits: John Howard, Digital Librarian, Harvard University
Signatures and Earmarks: Computer Recognition of Patterns in Music: David Cope, University of California, Santa Cruz

A Multi-scale Neural-Network Model for Learning and Reproducing Chorale Variations: Dominik Hörnel, University of Karlsruhe, Germany
Melodic Pattern-Detection Using MuSearch in Schubert's Die schöne Müllerin: Nigel Nettheim, University of New South Wales, Australia
Rhythmic Elements of Melodic Process in Nagauta Shamisen Music: Masato Yako, Kyushu Institute of Design, Fukuoka, Japan

Concepts of Melodic Similarity in Music-Copyright Infringement Suits: Charles Cronin, University of California, Berkeley
Judgments of Human and Machine Authorship in Real and Artificial Folksongs: Ewa Dahling, Polish Academy of Sciences, Warsaw, Poland,
and Helmut Schaffrath (deceased) [Hochschule für Musik, Essen University, Germany]

MELDEX: A Web-based Melodic Index Service: David Bainbridge, University of Waikato, Hamilton, New Zealand
Themefinder: A Web-based Melodic Search Tool: Andreas Kornstädt, University of Hamburg, Germany