Perceptual Audio Hashing Functions

• Main Authors: Emin Anarım, Nasir Memon, Bülent Sankur, Hamza Özer
• Format: Article
• Language: English
• Published: SpringerOpen 2005-07-01
• Series: EURASIP Journal on Advances in Signal Processing
• Subjects: perceptual audio hashing; content identification; singular value decomposition; least-square periodicity estimation.
• Online Access: http://dx.doi.org/10.1155/ASP.2005.1780

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.