Performance Evaluation of Different Window Functions for Audio Fingerprint Based Audio Search Algorithm

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dc.authorscopusid57218584062
dc.authorscopusid9943587100
dc.contributor.authorUyanik H.
dc.contributor.authorKoseoglu M.
dc.date.accessioned2024-08-04T20:04:00Z
dc.date.available2024-08-04T20:04:00Z
dc.date.issued2020
dc.departmentİnönü Üniversitesien_US
dc.description4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- 165025en_US
dc.description.abstractWindow functions are structures that are frequently used to increase the quality of the transformation when processing the signal in the time-frequency domain, especially when creating the spectrogram of the signal. In calculations for frequency information, Fourier transforms of short-time samples of the signal are transformed into spectrogram data with the help of window functions, and then operations are performed by using these data. In this study, the performance of three different window functions, which are used in obtaining spectrogram data in the algorithm developed for audio fingerprint-based audio recognition, have been tested under different artificial noise conditions. The results of these three different window functions were compared graphically, and a truth table was obtained based on the analyzed database. As a result of the simulations carried out in MATLAB, it has been observed that the hanning window function gives better spectral results for different noise levels, and accordingly it produces better matching results compared to the other two window functions as reported in former studies on different applications. In addition, some improvements about window length have been added into algorithm to obtain better results. © 2020 IEEE.en_US
dc.identifier.doi10.1109/ISMSIT50672.2020.9255225
dc.identifier.isbn9781728190907
dc.identifier.scopus2-s2.0-85097675329en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ISMSIT50672.2020.9255225
dc.identifier.urihttps://hdl.handle.net/11616/92259
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectaudio fingerprinten_US
dc.subjectspectrogramen_US
dc.subjectWindow functionen_US
dc.titlePerformance Evaluation of Different Window Functions for Audio Fingerprint Based Audio Search Algorithmen_US
dc.typeConference Objecten_US

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