@inproceedings{ae9beb5d8a2342ce98d255a61b9069ab,
title = "Robust audio hashing for audio identification",
abstract = "We propose and evaluate three new perceptual audio hash functions. These hash functions are based on a concise description of the time-frequency characteristics. This information can be extracted from the time series of frame-by-frame fundamental period or from the singular value decomposition of the mel frequency cepstral parameters. Experiments show that the proposed perceptual hash functions are both robust and unique.",
author = "Hamza {\"O}zer and B{\"u}lent Sankur and Nasir Memon",
note = "Publisher Copyright: {\textcopyright} 2004 EUSIPCO.; 12th European Signal Processing Conference, EUSIPCO 2004 ; Conference date: 06-09-2004 Through 10-09-2004",
year = "2015",
month = apr,
day = "3",
language = "English (US)",
series = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",
pages = "2091--2094",
booktitle = "2004 12th European Signal Processing Conference, EUSIPCO 2004",
}