Correcting chord classification errors based on tonal organization information of classical music
Refereed conference paper presented and published in conference proceedings

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AbstractChord progression in Classical music is not random. It follows some specific structure and rules. In this paper, we present a generative account of chord progression described by a set of phrase-structure grammar rules from Martin Rohr Meier. With some modifications and simplifications, these rules can be used to correct chord errors. A chord classification system for classical music is developed. With the aid of beat and melodic information, processed pitch class vector is obtained from the extracted constant-Q transform spectra. Exploiting tonal grammar rules, the most probable and musically sensible chord sequence is derived from that sequence of pitch class vectors. Some examples of classical piano excerpts are evaluated. The experimental result shows that our system is useful to improve chord classification accuracy.
All Author(s) ListKong L.W., Lee T.
Name of Conference16th IEEE International Symposium on Multimedia, ISM 2014
Start Date of Conference10/12/2014
End Date of Conference12/12/2014
Place of ConferenceTaichung
Country/Region of ConferenceTaiwan
Pages131 - 134
LanguagesEnglish-United Kingdom
KeywordsAcoustic signal analysis, chord classification, chord error correction, CYK algorithm, tonal organization

Last updated on 2020-15-09 at 01:51