Adaptive Loudness Compensation in Music Listening

dc.contributorAalto Universityen
dc.contributor.authorFierro, Leonardoen_US
dc.contributor.authorRämö, Jussien_US
dc.contributor.authorVälimäki, Vesaen_US
dc.contributor.departmentUniversity of Bresciaen_US
dc.contributor.departmentAudio Signal Processingen_US
dc.contributor.departmentDept Signal Process and Acousten_US
dc.description.abstractThe need for loudness compensation is a well known fact arising from the nonlinear behavior of human sound perception. Music and other sounds are mixed and mastered at a certain loudness level, usually louder than the level at which they are commonly played. This implies a change in the perceived spectral balance of the sound, which is largest in the low-frequency range. As the volume setting in music playing is decreased, a loudness compensation filter can be used to boost the bass appropriately, so that the low frequencies are still heard well and the perceived spectral balance is preserved. The present paper proposes a loudness compensation function derived from the standard equal-loudness-level contours and its implementation via a digital first-order shelving filter. Results of a formal listening test validate the accuracy of the proposed method.en
dc.description.versionPeer revieweden
dc.identifier.citationFierro , L , Rämö , J & Välimäki , V 2019 , Adaptive Loudness Compensation in Music Listening . in Proceedings of the 16th Sound & Music Computing Conference SMC 2019 . Proceedings of the Sound and Music Computing Conferences , Sound and Music Computing Association , pp. 135-142 , Sound and Music Computing Conference , Malaga , Spain , 28/05/2019 . < >en
dc.identifier.otherPURE UUID: 6dc3938b-c0c0-42f3-807f-e3144425f476en_US
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dc.relation.ispartofSound and Music Computing Conferenceen
dc.relation.ispartofseriesProceedings of the 16th Sound & Music Computing Conference SMC 2019en
dc.relation.ispartofseriesProceedings of the Sound and Music Computing Conferencesen
dc.titleAdaptive Loudness Compensation in Music Listeningen
dc.typeConference article in proceedingsfi