Fast content-based audio retrieval algorithm
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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.
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Atribución-NoComercial-CompartirIgual 2.5 Colombia