In this work, a comparison of Greek Orthodox religious chants is performed using fuzzy entropy.Using a dataset of chant performances, Twine 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 Phone Accessories for building an audio fingerprinting method based on fuzzy entropy.