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Sølvi Ystad

Researcher at Aix-Marseille University

Publications -  142
Citations -  1458

Sølvi Ystad is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Timbre & Sonification. The author has an hindex of 19, co-authored 134 publications receiving 1290 citations. Previous affiliations of Sølvi Ystad include Centre national de la recherche scientifique & Paris Descartes University.

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Influence of Syllabic Lengthening on Semantic Processing in Spoken French: Behavioral and Electrophysiological Evidence

TL;DR: The finding of larger N400 components to semantically incongruous than congruous words, in both the semantic and metric tasks, suggests that the N400 component reflects automatic aspects of semantic processing.
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Sound quality assessment of wood for xylophone bars

TL;DR: A methodology is proposed that associates an analysis-synthesis process and a perceptual classification test that pointed out the importance of two timbre descriptors: the frequency-dependent damping and the spectral bandwidth in the xylophone maker judgement.
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Controlling the Perceived Material in an Impact Sound Synthesizer

TL;DR: 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 to validate the proposed control strategy.
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The effect of real-time auditory feedback on learning new characters

TL;DR: Results revealed that auditory FB improved the speed and fluency of handwriting movements but reduced, in the short-term only, the spatial accuracy of the trace, and hypothesized that the positive effect on the handwriting kinematics was transferred to characters learned without FB.
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From Sound to Shape: Auditory Perception of Drawing Movements

TL;DR: This study investigates the human ability to perceive biological movements through friction sounds produced by drawings and the ability to recover drawn shapes from the friction sounds generated and concludes that the timbre variations induced by the velocity profile enabled the shape recognition.