Title :
A compositional Multiple-F0 estimation algorithms for computer-synthesized music
Author :
Yi, Guo ; Xinyue, Bai ; Xiaorong, Hou ; Hongbing, Xu
Author_Institution :
Coll. of Autom., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
Abstract :
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.
Keywords :
audio signal processing; electronic music; frequency estimation; iterative methods; learning (artificial intelligence); pattern matching; automatic music transcription; compositional multiple-F0 estimation algorithms; computer-synthesized music; harmonic matching; iterative deletion; machine learning methods; multiple fundamental frequency estimation; Estimation; Frequency estimation; Harmonic analysis; Instruments; Multiple signal classification; Power harmonic filters; Training; automatic music transcription; harmonic matching; iterative deletion; multiple-F0 estimation; pattern recognition;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057077
