TY - GEN
T1 - Sequential association rules in atonal music
AU - Honingh, Aline
AU - Weyde, Tillman
AU - Conklin, Darrell
PY - 2009/7/13
Y1 - 2009/7/13
N2 - This paper describes a preliminary study on the structure of atonal music. In the same way as sequential association rules of chords can be found in tonal music, sequential association rules of pitch class set categories can be found in atonal music. It has been noted before that certain pitch class sets can be grouped into 6 different categories . In this paper we calculate those categories in a different way and show that virtually all possible pitch class sets can be grouped into these categories. Each piece in a corpus of atonal music was segmented at the bar level and of each segment it was calculated to which category it belongs. The percentages of occurrence of the different categories in the corpus were tabulated, and it turns out that these statistics may be useful for distinguishing tonal from atonal music. Furthermore, sequential association rules were sought within the sequence of categories. The category transition matrix shows how many times it happens that one specific category is followed by another. The statistical significance of each progression can be calculated, and we present the significant progressions as sequential association rules for atonal music.
AB - This paper describes a preliminary study on the structure of atonal music. In the same way as sequential association rules of chords can be found in tonal music, sequential association rules of pitch class set categories can be found in atonal music. It has been noted before that certain pitch class sets can be grouped into 6 different categories . In this paper we calculate those categories in a different way and show that virtually all possible pitch class sets can be grouped into these categories. Each piece in a corpus of atonal music was segmented at the bar level and of each segment it was calculated to which category it belongs. The percentages of occurrence of the different categories in the corpus were tabulated, and it turns out that these statistics may be useful for distinguishing tonal from atonal music. Furthermore, sequential association rules were sought within the sequence of categories. The category transition matrix shows how many times it happens that one specific category is followed by another. The statistical significance of each progression can be calculated, and we present the significant progressions as sequential association rules for atonal music.
KW - Atonal music
KW - Pitch class set categories
KW - Sequential association rules
KW - Similarity measures
UR - https://www.scopus.com/pages/publications/67649961724
UR - https://www.scopus.com/pages/publications/67649961724#tab=citedBy
U2 - 10.1007/978-3-642-02394-1_12
DO - 10.1007/978-3-642-02394-1_12
M3 - Conference contribution
AN - SCOPUS:67649961724
SN - 9783642023934
T3 - Communications in Computer and Information Science
SP - 130
EP - 138
BT - Mathematics and Computation in Music
A2 - Chew, Elaine
A2 - Chew, Elaine
A2 - Childs, Adrian
A2 - Chuan, Ching-Hua
ER -