DocumentCode
404337
Title
Musical pitch tracking using internal model control based frequency cancellation
Author
Zhenyu Zhao ; Brown, Lyndon I.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, Ont., Canada
Volume
5
fYear
2003
fDate
9-12 Dec. 2003
Firstpage
5544
Abstract
A new method for pitch estimation of musical sound signal is presented in this paper. This method is based on the behavior of a notch filter in an error feedback system, and was first developed for identification of periodic signals with uncertain frequency. Unlike many previous methods, which are based on frequency representation in time window of the music signal, our algorithm is based on instantaneous ´measurements´ of the frequency in real-time. Because of the high accuracy of the frequencies and the magnitudes we obtained, this method may also be used to verify the types of the instruments and even the vibratos. Simulation results show that the presented approach operates reliably in monophonic case with a highly accurate frequency estimation. The same method has been extended to the polyphonic setting. At present, we are restricting input with a relatively strong fundamental frequency. This paper is a progress report, we hope to extend our work greatly in the future.
Keywords
acoustic waves; feedback; frequency control; frequency estimation; musical instruments; notch filters; speech recognition; tracking filters; error feedback system; frequency cancellation; frequency estimation; internal model control; musical instruments; musical pitch tracking; musical sound signal; notch filter; uncertain frequency; vibratos; Artificial intelligence; Autocorrelation; Computer errors; Feedback control; Frequency domain analysis; Instruments; Multiple signal classification; Music; Programmable control; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7924-1
Type
conf
DOI
10.1109/CDC.2003.1272520
Filename
1272520
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