Abstract
An Audio fingerprint is a small digest of an audio file computed from its main perceptual properties. Like human fingerprints, audio fingerprints allow to identify an audio file among a set of candidates without retrieving any other characteristics. We propose in this paper a fingerprint extraction algorithm based on a new audio segmentation method. A new scoring function based on q-grams is used to determine if an input signal is a derivated version of a fingerprint stored in the database. A rule based on this scoring function allows to either recover the original input file or to decide that no fingerprint belonging to the database corresponds to the signal. The proposed method is robust against compression and time shifting alterations of audio files.
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Lebossé, J., Brun, L., Pailles, JC. (2007). A Robust Audio Fingerprint’s Based Identification Method. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72847-4_25
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DOI: https://doi.org/10.1007/978-3-540-72847-4_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72846-7
Online ISBN: 978-3-540-72847-4
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