DocumentCode :
1888001
Title :
Fast content-based audio retrieval algorithm
Author :
Pedraza, Cesar ; Vitola, Jaime ; Sepulveda, Johanna ; Martinez, Jose I.
Author_Institution :
Telecommun. Eng. - Electron. Eng., Univ. Santo Tomas, Santo Tomas, Colombia
fYear :
2013
fDate :
11-13 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Fingerprinting is one of the most used techniques for searching and identification audio with a wide spectrum of applications. Different algorithms defines different fingerprint extraction and the match techniques, with different efficiency, computational load, robustness, response time and location search. Nowadays music audio retrieval faces two main challenges in order to be efficient: robustness and speed. This article proposes a fast algorithm to the audio content-based retrieval with the fingerprint technique, based on the extraction of the frequency features of the audio and a hash function. Experiments determined a high success rate and a response time lower than other techniques, optimal to real time applications like monitoring radio stations or songs identifying.
Keywords :
audio coding; content-based retrieval; data compression; feature extraction; file organisation; information retrieval; music; audio frequency feature extraction; fast content-based audio retrieval algorithm; fingerprint technique; hash function; music audio retrieval; radio stations monitoring; songs identification; Conferences; Databases; Feature extraction; Noise; Robustness; Signal processing algorithms; Time factors; Audio Retrieval; Fingerprinting; Hash function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image, Signal Processing, and Artificial Vision (STSIVA), 2013 XVIII Symposium of
Conference_Location :
Bogota
Print_ISBN :
978-1-4799-1120-2
Type :
conf
DOI :
10.1109/STSIVA.2013.6644941
Filename :
6644941
Link To Document :
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