DocumentCode
2059464
Title
Fourier-based methods for the spectral analysis of musical sounds
Author
Marchand, Sylvain
Author_Institution
Lab.-STICC, Univ. of Brest, Brest, France
fYear
2013
fDate
9-13 Sept. 2013
Firstpage
1
Lastpage
5
Abstract
When dealing with musical sounds, the short-time Fourier transform prevails and sinusoids play a key role, according to both acoustics (vibrating modes) and psychoacoustics (pure tones). The values obtained when decomposing the signal on the time-frequency atoms are usually assigned to their geometrical center, leading to estimation errors for the sinusoidal parameters. To correct this, one can exploit the amplitude or phase information, use the derivatives of the analysis window, or those of the audio signal. This leads to three methods (phase vocoder, spectral reassignment, derivative algorithm) equally efficient: they are in fact different formulations of the best analysis method based on the Fourier spectrum.
Keywords
Fourier transforms; audio signal processing; spectral analysis; time-frequency analysis; Fourier-based methods; audio signal; derivative algorithm; musical sounds; phase vocoder; short-time Fourier transform; spectral analysis; spectral reassignment; time-frequency atoms; Amplitude modulation; Equations; Estimation; Fourier transforms; Frequency estimation; Frequency modulation; Time-frequency analysis; Fourier transform; Sound analysis; sinusoidal modeling; spectral reassignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location
Marrakech
Type
conf
Filename
6811670
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