The Effect of Different Noise Levels on The Performance of The Audio Search Algorithm
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) -- JUN 26-27, 2020 -- TURKEY
Anahtar Kelimeler
Audio fingerprint, audio recognize, hash function, multimedia audio file
Kaynak
2nd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (Hora 2020)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
