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dc.contributor.authorAdeli, Mohammadfr
dc.contributor.authorRouat, Jeanfr
dc.contributor.authorWood, Seanfr
dc.contributor.authorMolotchnikoff, Stéphanefr
dc.contributor.authorPlourde, Ericfr
dc.contributor.editorUniversité de Sherbrooke. NECOTISfr
dc.date.accessioned2016-09-07T22:07:30Z
dc.date.available2016-09-07T22:07:30Z
dc.date.created2016fr
dc.date.issued2016-09-07
dc.identifier.urihttp://hdl.handle.net/11143/9503
dc.description.abstractA flexible and multipurpose bio-inspired hierarchical model for analyzing musical timbre is presented in this paper. Inspired by findings in the fields of neuroscience, computational neuroscience, and psychoacoustics, not only does the model extract spectral and temporal characteristics of a signal, but it also analyzes amplitude modulations on different timescales. It uses a cochlear filter bank to resolve the spectral components of a sound, lateral inhibition to enhance spectral resolution, and a modulation filter bank to extract the global temporal envelope and roughness of the sound from amplitude modulations. The model was evaluated in three applications. First, it was used to simulate subjective data from two roughness experiments. Second, it was used for musical instrument classification using the k-NN algorithm and a Bayesian network. Third, it was applied to find the features that characterize sounds whose timbres were labeled in an audiovisual experiment. The successful application of the proposed model in these diverse tasks revealed its potential in capturing timbral information.fr
dc.language.isoengfr
dc.relation.isversionofdoi:10.1109/TASLP.2016.2530405fr
dc.rightsAttribution - Pas d’Utilisation Commerciale - Pas de Modification 2.5 Canada
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ca/
dc.subjectTimbrefr
dc.subjectCochlear filter bankfr
dc.subjectModulation filter bankfr
dc.subjectTemporal envelopefr
dc.subjectTime-averaged spectrumfr
dc.subjectInstantaneous roughnessfr
dc.subjectMusical instrument classificationfr
dc.subjectBayesian networkfr
dc.subjectMultimodal timbre characterizationfr
dc.titleA flexible bio-inspired hierarchical model for analyzing musical timbrefr
dc.typeArticlefr
udes.description.typestatusPrépublicationfr
udes.description.typepubScientifiquefr
udes.description.pages1-15fr
udes.description.period24(5)fr
udes.description.sponsorshipFRQNTfr
udes.description.diffusionDiffusé par Savoirs UdeS, le dépôt institutionnel de l'Université de Sherbrookefr
dc.identifier.bibliographicCitationAdeli, M., Rouat, J., Wood, S., Molotchnikoff, S., Plourde, E. (2016). Flexible bio-inspired hierarchical model for analyzing musical timbre. IEEE/ACM transactions on audio, speech, and language processing, Prépublication. doi:10.1109/TASLP.2016.2530405fr
udes.autorisation.depottruefr
udes.description.ordreauteursAdeli, Mohammad; Rouat, Jean; Wood, Sean; Molotchnikoff, Stéphane; Plourde, Ericfr


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Attribution - Pas d’Utilisation Commerciale - Pas de Modification 2.5 Canada
Except where otherwise noted, this document's license is described as Attribution - Pas d’Utilisation Commerciale - Pas de Modification 2.5 Canada