DocumentCode
2575820
Title
Key determination of acoustic musical signals
Author
Shenoy, Arun ; Mohapatra, Roshni ; Wang, Ye
Author_Institution
Sch. of Comput., Nat. Univ. of Singapore, Singapore
Volume
3
fYear
2004
fDate
27-30 June 2004
Firstpage
1771
Abstract
The work presents a novel rule-based approach for determining the key of acoustic musical signals. Knowledge of the key enables to be derived, from music knowledge, the pitch class elements that a piece of music uses. Our technique is a combination of chroma based frequency analysis and music knowledge of rhythm structure and chord change patterns followed by rule-based inference. Experimental results illustrate that 90% accuracy is achieved for key determination and we have given an explanation for the cases that have generated an incorrect key. Steps for further development are also outlined.
Keywords
acoustic correlation; audio signal processing; inference mechanisms; knowledge based systems; music; acoustic musical signals; audio signals; chord change patterns; chroma based frequency analysis; key determination; music knowledge; pitch class elements; rhythm structure; rule-based approach; rule-based inference; Acoustic noise; Computational modeling; Frequency; Hidden Markov models; Humans; Image analysis; Multiple signal classification; Pattern analysis; Rhythm; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Print_ISBN
0-7803-8603-5
Type
conf
DOI
10.1109/ICME.2004.1394598
Filename
1394598
Link To Document