Fast content-based audio retrieval algorithm

dc.creatorPedraza, César
dc.creatorVitola, Jaime
dc.creatorSepulveda, Johanna
dc.creatorMartínez, Jose I.
dc.date.accessioned2020-01-21T13:12:03Z
dc.date.accessioned2022-09-28T14:45:06Z
dc.date.available2020-01-21T13:12:03Z
dc.date.available2022-09-28T14:45:06Z
dc.date.created2020-01-21T13:12:03Z
dc.date.issued2013-10-24
dc.identifierhttp://hdl.handle.net/11634/20898
dc.identifierhttps://doi.org/10.1109/STSIVA.2013.6644941
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3664303
dc.description.abstractFingerprinting 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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dc.rightshttp://creativecommons.org/licenses/by-nc-sa/2.5/co/
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia
dc.titleFast content-based audio retrieval algorithm
dc.typeGeneración de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicos


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