Robust audio hashing for audio identification

Hamza Özer, Bülent Sankur, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2004 12th European Signal Processing Conference, EUSIPCO 2004
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages2091-2094
Number of pages4
Volume06-10-September-2004
ISBN (Electronic)9783200001657
StatePublished - Apr 3 2015
Event12th European Signal Processing Conference, EUSIPCO 2004 - Vienna, Austria
Duration: Sep 6 2004Sep 10 2004

Other

Other12th European Signal Processing Conference, EUSIPCO 2004
CountryAustria
CityVienna
Period9/6/049/10/04

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ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Özer, H., Sankur, B., & Memon, N. (2015). Robust audio hashing for audio identification. In 2004 12th European Signal Processing Conference, EUSIPCO 2004 (Vol. 06-10-September-2004, pp. 2091-2094). [7079698] European Signal Processing Conference, EUSIPCO.