Identification of Greek Orthodox Church Chants Using Fuzzy Entropy

Identification of Greek Orthodox Church Chants Using Fuzzy Entropy

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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 s?n nhà màu n?u ??t 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 sophie allport bee curtains 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.