Sub-fingerprint masking for a robust audio fingerprinting system in a real-noise environment for portable consumer devices

The robustness of audio fingerprinting system in a noisy environment is a principal challenge in the area of content-based music retrieval, especially for use in portable consumer devices. Our new audio fingerprint method using sub-fingerprint masking based on the predominant pitch extraction dramat...

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Bibliographic Details
Published inIEEE transactions on consumer electronics Vol. 56; no. 1; pp. 156 - 160
Main Authors Son, Wooram, Cho, Hyun-Tae, Yoon, Kyoungro, Lee, Seok-Pil
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Audio databases
Audio fingerprint
Audio retrieval
Content based retrieval
Devices
Electronics
Filtering
Fingerprint recognition
Fingerprinting
Frequency conversion
Masking
Multimedia systems
Music information retrieval
Noise robustness
Noisy environment
Portability
Robustness
Searching
Table lookup
Tables (data)
Working environment noise
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Summary:The robustness of audio fingerprinting system in a noisy environment is a principal challenge in the area of content-based music retrieval, especially for use in portable consumer devices. Our new audio fingerprint method using sub-fingerprint masking based on the predominant pitch extraction dramatically increases the accuracy of the audio fingerprinting system in a noisy environment, while requiring much less computing power for matching, compared to the expanded hash table lookup method, where the searching complexity increases by the factor of 33 times the degree of expansion.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2010.5439139