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dc.contributor.authorSimantiraki, Olympia ORCID
dc.contributor.authorCooke, Martin
dc.date.accessioned2023-09-26T14:26:52Z
dc.date.available2023-09-26T14:26:52Z
dc.date.issued2023-07-28
dc.identifier.citationApplied Sciences 13(15) : (2023) // Article ID 8734es_ES
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10810/62680
dc.description.abstractModifying the spectrum of recorded or synthetic speech is an effective strategy for boosting intelligibility in noise without increasing the speech level. However, the wider impact of changes to the spectral energy distribution of speech is poorly understood. The present study explored the influence of spectral modifications using an experimental paradigm in which listeners were able to adjust speech parameters directly with real-time audio feedback, allowing the joint elicitation of preferences and word recognition scores. In two experiments involving full-bandwidth and bandwidth-limited speech, respectively, listeners adjusted one of eight features that altered the speech spectrum, and then immediately carried out a sentence-in-noise recognition task at the chosen setting. Listeners’ preferred adjustments in most conditions involved the transfer of speech energy from the sub-1 kHz region to the 1–4 kHz range. Preferences were not random, even when intelligibility was at the ceiling or constant across a range of adjustment values, suggesting that listener choices encompass more than a desire to maintain comprehensibility.es_ES
dc.description.sponsorshipOlympia Simantiraki was funded by the European Commission under the Marie Curie European Training Network ENRICH (675324).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/675324es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectlistener preferenceses_ES
dc.subjectspectral energy reallocationes_ES
dc.subjectglimpses profilees_ES
dc.titleListeners’ Spectral Reallocation Preferences for Speech in Noisees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-08-11T14:33:37Z
dc.rights.holder© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/13/15/8734es_ES
dc.identifier.doi10.3390/app13158734
dc.contributor.funderEuropean Commission


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).