Controlling the perceived material in an impact sound synthesizer

Abstract : In this article, we focused on the identication of the perceptual properties of impacted materials to provide an intuitive control of an impact sound synthesizer. To investigate such properties, impact sounds from everyday life objects, made of different materials (Wood, Metal and Glass), were recorded and analyzed. These sounds were synthesized using an analysis-synthesis technique and tuned to the same chroma. Sound continua were created to simulate progressive transitions between materials. Sounds from these continua were then used in a categorization experiment to determine sound categories representative of each material (called typical sounds). We also examined changes in electrical brain activity (using Event Related Potentials -ERPs- method) associated with the categorization of these typical sounds. Moreover, acoustic analysis was conducted to investigate the relevance of acoustic descriptors known to be relevant for both timbre perception and material identification. Both acoustic and electrophysiological data confirmed the importance of damping and highlighted the relevance of spectral content for material perception. Based on these findings, controls for damping and spectral shaping were tested in synthesis applications. A global control strategy, with a three-layer architecture, was proposed for the synthesizer allowing the user to intuitively navigate in a “Material space” and defining impact sounds directly from the material label. A formal perceptual evaluation was finally conducted to validate the proposed control strategy.
Document type :
Journal articles
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00465085
Contributor : Solvi Ystad <>
Submitted on : Thursday, March 18, 2010 - 11:04:36 PM
Last modification on : Monday, March 4, 2019 - 2:04:04 PM

Identifiers

Citation

Mitsuko Aramaki, Mireille Besson, Richard Kronland-Martinet, Solvi Ystad. Controlling the perceived material in an impact sound synthesizer. IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2010, 19 (2), pp.301-314. ⟨10.1109/TASL.2010.2047755⟩. ⟨hal-00465085⟩

Share

Metrics

Record views

206