Sound design applications are often hampered because the sound engineer must either produce new sounds using physical objects, or search through a database of sounds to find a suitable sample. We created a set of basic sounds to mimic these physical sound-producing objects, leveraging the mind’s onomatopoetic clustering capabilities. These sounds, grouped into onomatopoetic categories, aid the sound designer in music information retrieval (MIR) and sound categorization applications. Initial testing regarding the grouping of individual sounds into groups based on similarity has shown that participants tended to group certain sounds together, often reflecting the groupings our team constructed.
Black, David; Heise, Sebastian; Loviscach, Jörn
Affiliations: Fachhochschule Bielefeld (University of Applied Sciences), Bielefeld, Germany; Hochschule Bremen (University of Applied Sciences), Bremen, Germany(See document for exact affiliation information.)
AES Convention: 126 (May 2009) Paper Number: 7795
Publication Date: May 1, 2009
Subject: Sound Design and Processing
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