Perceptual audio hashing functions

Hamza Özer, Bülent Sankur, Nasir Memon, Emin Anarim

Research output: Contribution to journalArticlepeer-review


Perceptual hash functions provide a tool for fast and reliable identification of content. We present new audio hash functions based on summarization of the time-frequency spectral characteristics of an audio document. The proposed hash functions are based on the periodicity series of the fundamental frequency and on singular-value description of the cepstral frequencies. They are found, on one hand, to perform very satisfactorily in identification and verification tests, and on the other hand, to be very resilient to a large variety of attacks. Moreover, we address the issue of security of hashes and propose a keying technique, and thereby a key-dependent hash function. perceptual audio hashing, content identification, singular value decomposition, least-square periodicity estimation.

Original languageEnglish (US)
Pages (from-to)1780-1793
Number of pages14
JournalEurasip Journal on Applied Signal Processing
Issue number12
StatePublished - Jul 21 2005

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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