DocumentCode :
2329290
Title :
Music Pitch Representation by Periodicity Measures Based on Combined Temporal and Spectral Representations
Author :
Peeters, Geoffroy
Author_Institution :
Ircam, CNRS, Paris
Volume :
5
fYear :
2006
fDate :
14-19 May 2006
Abstract :
Periodicity estimation of an audio signal, for applications such as pitch, multiple pitch or tempo estimation is often problematic due to the presence of multiple harmonics in the audio signal producing octave errors. While pitch models or rhythm models can be used, they remain often dedicated to a specific problem. In this paper, we propose a straightforward approach for periodicity estimation based on the combination of a spectral representation and a temporal representation. This method allows a better emphasis on the frequencies corresponding to the various pitches. We show the ability of this representation to adequately estimate pitch and visualize signals with multiple pitch content
Keywords :
audio signal processing; estimation theory; harmonics; music; signal representation; spectral analysis; audio signal; music pitch representation; periodicity estimation; periodicity measures; pitch estimation; spectral representation; spectral representations; temporal representation; temporal representations; Amplitude estimation; Autocorrelation; Discrete Fourier transforms; Frequency estimation; Gravity; Information analysis; Multiple signal classification; Rhythm; Signal synthesis; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1661210
Filename :
1661210
Link To Document :
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