Perception of Impacted Materials: Sound Retrieval and Synthesis Control Perspectives

Authors:
Mitsuko Aramaki;Loïc Brancheriau;Richard Kronland-Martinet;Sølvi Ystad
Affiliations:
CNRS - Institut de Neurosciences Cognitives de la Méditerranée, Marseille Cedex 20, France 13402 and Aix-Marseille - Université, Marseille Cedex 07, France 13284;CIRAD - PERSYST Department, Montpellier Cedex 5, France 34398;CNRS - Laboratoire de Mécanique et d'Acoustique, Marseille Cedex 20, France 13402;CNRS - Laboratoire de Mécanique et d'Acoustique, Marseille Cedex 20, France 13402
Venue:
Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music
Year:
2009

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Abstract

In this study, we aimed at determining statistical models that allowed for the classification of impact sounds according to the perceived material (Wood, Metal and Glass). For that purpose, everyday life sounds were recorded, analyzed and resynthesized to insure the generation of realistic sounds. Listening tests were conducted to define sets of typical sounds of each material category by using a statistical approach. For the construction of statistical models, acoustic descriptors known to be relevant for timbre perception and for material identification were investigated. These models were calibrated and validated using a binary logistic regression method. A discussion about the applications of these results in the context of sound synthesis concludes the article.