Discovering Hidden Themes in Symbolic Music Text
Author(s) -
Michele Della Ventura
Publication year - 2014
Publication title -
lecture notes on software engineering
Language(s) - English
Resource type - Journals
ISSN - 2301-3559
DOI - 10.7763/lnse.2015.v3.192
Subject(s) - computer science , psychology , cognitive science , natural language processing
The algorithm proposed in this article, in order to identify the ("concealed") motif hidden among the notes of a musical composition represents, a revision of a previous algorithm (by Michele Della Ventura), based on the concept of "structural similarity": the motif, though being hidden among melodic figurations, maintained the rhythmic and melodic structure unaltered (even if it was subjected to transposition). The current algorithm dealt with the issue of identifying the melody hidden among the melodic figurations which change its structural characteristics, thus making its identification very complex. The comparison between a melodic segment and the melody taken as a "model" will be made by constructing the Trellis Diagram. The new algorithm works out correctly even in case of analysis of the same set of scores analyzed by the previous algorithm.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom