Reliable Automatic Recognition for Pitch-Shifted Audio

In this paper we present the difficulties involved in recognizing pitch-shifted audio, discussing its usage and implications. In the framework of audio fingerprinting techniques, we address the issue by proposing two complementary solutions, both of which can be exploited without affecting an existi...

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Bibliographic Details
Published in2008 Proceedings of 17th International Conference on Computer Communications and Networks pp. 1 - 6
Main Authors Bellettini, C., Mazzini, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2008
Subjects
Audio databases
Feature extraction
Fingerprint recognition
Frequency
Libraries
Music information retrieval
Robustness
Signal processing algorithms
Spatial databases
Telephony
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Summary:In this paper we present the difficulties involved in recognizing pitch-shifted audio, discussing its usage and implications. In the framework of audio fingerprinting techniques, we address the issue by proposing two complementary solutions, both of which can be exploited without affecting an existing reference database. As fingerprint algorithm, a well-known, robust method is employed in a modified version and providing insights on its peculiarities. Tests were carried out on a vast song library and exhibit an excellent success rate, up to considerable distortion magnitudes.
ISBN:1424423899
9781424423897
ISSN:1095-2055
2637-9430
DOI:10.1109/ICCCN.2008.ECP.157