Identification of Greek Orthodox Church Chants Using Fuzzy Entropy

In this work, a comparison of Greek Orthodox religious chants is performed using fuzzy entropy. Using a dataset of chant performances, each recitation is segmented into overlapping time windows, and the fuzzy entropy of each window in the frequency domain is computed. We introduce a novel audio fingerprinting framework by comparing the variations in the resulting fuzzy entropy vector for the dataset. For this purpose, we use the correlation coefficient as a measure and dynamic time warping. Thus, it is possible to match the performances of the same chant with high probability. The proposed methodology provides a foundation for building an audio fingerprinting method based on fuzzy entropy.

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Publication Details

Journal
Computers
Published
2025-01-27
DOI
https://doi.org/10.3390/computers14020039
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Greek Orthodox Church Chants Using Fuzzy Entropy

Achilles D. Boursianis, S. Nikolaidis, Sotirios K. Goudos, Panagiotis Sarigiannidis et al.
Computers
Music and Audio Processing
article

Identification of Greek Orthodox Church Chants Using Fuzzy Entropy

Achilles D. Boursianis, S. Nikolaidis, Sotirios K. Goudos, Panagiotis Sarigiannidis, Lazaros Moysis, Sotirios P. Sotiroudis, CHRISTOS K. VOLOS, M. A. Matin, Dimitrios Kampelopoulos, Konstantinos Karasavvidis
article en

Abstract

In this work, a comparison of Greek Orthodox religious chants is performed using fuzzy entropy. Using a dataset of chant performances, each recitation is segmented into overlapping time windows, and the fuzzy entropy of each window in the frequency domain is computed. We introduce a novel audio fingerprinting framework by comparing the variations in the resulting fuzzy entropy vector for the dataset. For this purpose, we use the correlation coefficient as a measure and dynamic time warping. Thus, it is possible to match the performances of the same chant with high probability. The proposed methodology provides a foundation for building an audio fingerprinting method based on fuzzy entropy.

ComputersVol. 14(2)
North South University (BD), Aristotle University of Thessaloniki (GR), University of Western Macedonia (GR)
European Regional Development Fund
Openalex Percentile: Top 99%
Music and Audio Processing
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