A compositional Multiple-F0 estimation algorithms for computer-synthesized music

Multiple fundamental frequency estimation, or Multiple-F0 estimation, is one of the most important problem on automatic music transcription, but it has not been well resolved up to now. This paper presents a machine learning methods using harmonic matching and iterative deletion for computer synthes...

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Bibliographic Details
Published in2011 International Conference on Electrical and Control Engineering pp. 5 - 8
Main Authors Guo Yi, Bai Xinyue, Hou Xiaorong, Xu Hongbing
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
automatic music transcription
Estimation
Frequency estimation
Harmonic analysis
harmonic matching
Instruments
iterative deletion
Multiple signal classification
multiple-F0 estimation
pattern recognition
Power harmonic filters
Training
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Summary:Multiple fundamental frequency estimation, or Multiple-F0 estimation, is one of the most important problem on automatic music transcription, but it has not been well resolved up to now. This paper presents a machine learning methods using harmonic matching and iterative deletion for computer synthesized music specifically to Multiple-F0 estimation. Computer-synthesized music is almost free from similar instruments of the differences between different individuals, so it is a good research object. It can be shown in this paper that the experimental results indicate that this method has very good recognition results.
ISBN:9781424481620
1424481627
DOI:10.1109/ICECENG.2011.6057077