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dc.contributor.authorMiranda, Eduardo
dc.contributor.authorAntoine, A
dc.contributor.authorWilliams, D

Searching for audio samples within a library can be a tedious and time-consuming task. In this paper, we report on the design of a pilot automatic classification system that utilises timbral properties to automatically classify audio samples. At this stage of the study, we have decided to work only with orchestral audio samples. In addition, we conducted a perceptual experiment to evaluate the performance of the system across five timbral attributes: breathiness, brightness, dullness, roughness and warmth. Promising classification results indicate that this approach may be suitable for further work that could also benefit some music production tasks.

dc.titleTowards a Timbral Classification System for Musical Excerpts
plymouth.conference-name2nd AES Workshop on Intelligent Music Production
plymouth.journalProceedings of the 2nd AES Workshop on Intelligent Music Production
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA33 Music, Drama, Dance, Performing Arts, Film and Screen Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dc.rights.embargoperiodNot known
rioxxterms.typeConference Paper/Proceeding/Abstract

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