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 :
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