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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorAlías Pujol, Francesc
dc.contributor.authorSocoró Carrié, Joan Claudi
dc.contributor.authorSevillano Domínguez, Xavier
dc.date.accessioned2020-03-25T06:22:13Z
dc.date.accessioned2023-10-02T06:44:54Z
dc.date.available2020-03-25T06:22:13Z
dc.date.available2023-10-02T06:44:54Z
dc.date.created2016-03
dc.date.issued2016-05
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3449
dc.description.abstractEndowing machines with sensing capabilities similar to those of humans is a prevalent quest in engineering and computer science. In the pursuit of making computers sense their surroundings, a huge effort has been conducted to allow machines and computers to acquire, process, analyze and understand their environment in a human-like way. Focusing on the sense of hearing, the ability of computers to sense their acoustic environment as humans do goes by the name of machine hearing. To achieve this ambitious aim, the representation of the audio signal is of paramount importance. In this paper, we present an up-to-date review of the most relevant audio feature extraction techniques developed to analyze the most usual audio signals: speech, music and environmental sounds. Besides revisiting classic approaches for completeness, we include the latest advances in the field based on new domains of analysis together with novel bio-inspired proposals. These approaches are described following a taxonomy that organizes them according to their physical or perceptual basis, being subsequently divided depending on the domain of computation (time, frequency, wavelet, image-based, cepstral, or other domains). The description of the approaches is accompanied with recent examples of their application to machine hearing related problemseng
dc.format.extent13 p.cat
dc.language.isoengcat
dc.publisherMDPIcat
dc.relation.ispartofApplied Sciences. 2016, Vol. 6, No.5 (Maig)cat
dc.rightsAttribution 4.0 International
dc.rights© L'autor/a
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherPercepció auditivacat
dc.subject.otherPercepció de la músicacat
dc.subject.otherPercepció del llenguatgecat
dc.titleA Review of physical and perceptual feature extraction techniques for speech, music and environmental soundscat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/publishedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc531/534
dc.identifier.doihttps://doi.org/10.3390/app6050143cat


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
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