DocumentCode :
624431
Title :
A new approach to short-time harmonic analysis of tonal audio signals using harmonic sinusoidals
Author :
Jannatpour, Ali ; Krzyzak, Adam ; O´Shaughnessy, D.
fYear :
2013
fDate :
5-8 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a novel short-time frequency analysis algorithm, namely Instantaneous Harmonic Analysis (IHA), which can be used in Multiple Fundamental Frequency Estimation. Given a set of reference pitches, the objective of the algorithm is to transform the real-valued time-domain audio signal into a set of complex time-domain signals in such a way that the amplitude and phase of the resulting signals represent the amplitude and phase of the signal components with respect to the reference pitches. In the proposed algorithm, the instantaneous amplitude is identified as the presence of the pitch in time. The algorithm has been applied to three synthetic data sets for pureharmonic, one-overtone, and two-overtone data in a MIDI format and the results are reported here. To overcome the harmonic collision, a bottom of approach has been used for overtones elimination. A note event post-processing algorithm has also been developed for further analysis by representing the IHA output in the beat resolution.
Keywords :
audio signal processing; harmonic analysis; time-domain analysis; IHA; MIDI format; beat resolution; complex time-domain signal; harmonic collision; harmonic sinusoidal; instantaneous harmonic analysis; multiple fundamental frequency estimation; one-overtone data; post-processing algorithm; real-valued time-domain audio signal; short-time frequency analysis algorithm; short-time harmonic analysis; signal amplitude; signal component phase; synthetic data set; tonal audio signal; two-overtone data; Algorithm design and analysis; Fourier transforms; Frequency estimation; Harmonic analysis; Signal resolution; Time-frequency analysis; Constant-Q filtering; Harmonic Analysis; Multiple Fundamental Frequency Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
Conference_Location :
Regina, SK
ISSN :
0840-7789
Print_ISBN :
978-1-4799-0031-2
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2013.6567718
Filename :
6567718
Link To Document :
بازگشت