Perception of audified acoustic emissions from compression of microscopic samples

Recording of acoustic emissions (elastic waves emitted by dislocation motion) during compression of microscopic samples is a novel emerging tool for the investigation of mechanical properties of materials. Yet the resulting signals can be so noisy and complex that they don't easily allow for identifying the deformation mode or the material involved. This study aims at testing if the human auditory system can pick patterns in the audified recordings (i.e. transposed from the ultrasonic to the audible range) that match the physical characteristics of the samples. In a Free Sorting Task, participants sorted sounds into groups according to perceived similarity. The sounds originated in recordings varying according to material, deformation mode, and size of the sample. During clustering and multidimensional analysis, sounds were found to be first grouped according to spectral features: Zinc and Magnesium recordings respectively produced high-pitched and low-pitched sounds. Sounds were further discriminated according to perceived sound level (soft vs. loud for slipping vs. twinning) and number of perceived sound events (no clearly associated physical parameter). Correlations were found between subjective groupings and audio descriptors, so that audio-inspired mechanical investigations can now be envisioned.

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Publication Details

Journal
NOISE-CON proceedings
Published
2024-10-04
DOI
https://doi.org/10.3397/in_2024_1468
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Perception of audified acoustic emissions from compression of microscopic samples

Péter Dusán Ispánovity, Arthur Paté, Szilvia Kalácska, Catherine Lavandier et al.
NOISE-CON proceedings
Music and Audio Processing
article

Perception of audified acoustic emissions from compression of microscopic samples

Péter Dusán Ispánovity, Arthur Paté, Szilvia Kalácska, Catherine Lavandier, F. Duval, Dávid Ugi, Clement XU
article en

Abstract

Recording of acoustic emissions (elastic waves emitted by dislocation motion) during compression of microscopic samples is a novel emerging tool for the investigation of mechanical properties of materials. Yet the resulting signals can be so noisy and complex that they don't easily allow for identifying the deformation mode or the material involved. This study aims at testing if the human auditory system can pick patterns in the audified recordings (i.e. transposed from the ultrasonic to the audible range) that match the physical characteristics of the samples. In a Free Sorting Task, participants sorted sounds into groups according to perceived similarity. The sounds originated in recordings varying according to material, deformation mode, and size of the sample. During clustering and multidimensional analysis, sounds were found to be first grouped according to spectral features: Zinc and Magnesium recordings respectively produced high-pitched and low-pitched sounds. Sounds were further discriminated according to perceived sound level (soft vs. loud for slipping vs. twinning) and number of perceived sound events (no clearly associated physical parameter). Correlations were found between subjective groupings and audio descriptors, so that audio-inspired mechanical investigations can now be envisioned.

NOISE-CON proceedingsVol. 270(11)
Eötvös Loránd University (HU), Aix-Marseille Université (FR), Mines Saint-Étienne (FR), École Nationale Supérieure de Statistique et d'Économie Appliquée (CI), CY Cergy Paris Université (FR), École Nationale Supérieure de l'Électronique et de ses Applications (FR)
Agence Nationale de la Recherche, Hungarian Scientific Research Fund, Centre National de la Recherche Scientifique, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Institut des sciences de l'ingénierie et des systèmes
Reduced inequalities
Openalex Percentile: Top 81%
Music and Audio Processing
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