DocumentCode :
699298
Title :
Robust audio fingerprinting for song identification
Author :
Mapelli, F. ; Pezzano, R. ; Lancini, R.
Author_Institution :
CEFRIEL, Politec. di Milano, Milan, Italy
fYear :
2004
fDate :
6-10 Sept. 2004
Firstpage :
2095
Lastpage :
2098
Abstract :
This paper presents a new algorithm for audio hashing. These kinds of techniques work analysing the signal taking into account its nature in order to extract distinguishing features robust to typical processing. These features describe in a compact way the signal and can be efficiently stored in a database. In our algorithm the features are analysed for short frames using a quantization approach. Moreover we propose a parameter for identification, which is also used to define a confidence. The confidence is used to identify the quality of the identification. The algorithm is tested under different processing operations: compression, cropping, noise addition, subsampling, stereo to mono conversion, etc. The results show that the identification can be performed also using a short excerpt of the song.
Keywords :
audio signal processing; feature extraction; quantisation (signal); audio hashing; feature extraction; quantization approach; robust audio fingerprinting; song identification; Abstracts; Fingerprint recognition; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7
Type :
conf
Filename :
7079828
Link To Document :
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