Munzur ÜniversitesiMunzur ÜniversitesiAçık Erişim Arşivi · RDL Open

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Yeniden eskiyeEskiden yeniye
  • BildiriYalnız künye2020
    The Effect of Different Noise Levels on The Performance of The Audio Search Algorithm

    Köseoglu, Murat; Uyanik, Hakan

    Audio fingerprint technique is a method that creates a unique and compact identity for audio data and is also used to distinguish these identities from each other. In this study, an algorithm, based on the methods used in Shazam 's audio fingerprint technique and hash functions, was developed to recognize multimedia audio files by using MATLAB software, and it was tested against noise factor of different levels. Experimental results have shown that the developed algorithm gives successful results against the noise factor. In addition, it has been understood that the preferred hash function technique has revealed satisfying results in comparison with the conventional techniques.

    AtıfOpenAlex5
    Web of Scienceİncele
  • BildiriYalnız künye2020
    Performance Evaluation of Different Window Functions for Audio Fingerprint Based Audio Search Algorithm

    Uyanik, Hakan; Koseoglu, Murat

    Window 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.

    AtıfScopus12OpenAlex10
    Scopusİncele