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• W2279646958 abstract "Automatic Music Information Retrieval has been one of the challenging topics of research for a few decades now, with several interesting approaches reported in the literature. In this paper we have developed a pitch extraction method based on a finite Fourier series approximation to the given window of samples of a music signal. We then estimate pitch as the fundamental period of the finite Fourier series approximation of the music signal. This method also uses analysis of the strength of harmonics present in the signal to reduce octave as well as harmonic errors. The performance of our method is compared with two of the best known methods for pitch extraction, namely, Yin and Windowed Special Normalization of the Auto-Correlation Function. Our study with artificially created signals as well as music files show that Fourier Approximation method gives much better estimate of pitch with less octave and harmonic errors." @default.
• W2279646958 created "2016-06-24" @default.
• W2279646958 creator A5020818385 @default.
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• W2279646958 date "2015-12-01" @default.
• W2279646958 modified "2023-09-26" @default.
• W2279646958 title "Improved pitch detection using fourier approximation method" @default.
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• W2279646958 doi "https://doi.org/10.1109/isspit.2015.7394392" @default.
• W2279646958 hasPublicationYear "2015" @default.
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