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How Would You Reproduce a Synthetic Sound of an Ellipse in Water? A Phenomenological Investigation of Pre-reflexive Contents of Consciousness

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Perception, Representations, Image, Sound, Music (CMMR 2019)

Abstract

This article describes a listening experiment based on elicitation interviews that aims at describing the conscious experience of a subject submitted to a perceptual stimulation. As opposed to traditional listening experiments in which subjects are generally influenced by closed or suggestive questions and limited to predefined, forced choices, elicitation interviews make it possible to get a deeper insight into the listener’s perception, in particular to the pre-reflexive content of the conscious experiences. Inspired by previous elicitation interviews during which subjects passively listened to sounds, this experience is based on an active task during which the subjects were asked to reproduce a sound with a stylus on a graphic tablet that controlled a synthesis model. The reproduction was followed by an elicitation interview. The trace of the graphic gesture as well as the answers recorded during the interview were then analyzed. Results revealed that the subjects varied their focus towards both the evoked sound source, and intrinsic sound properties and also described their sensations induced by the experience.

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Acknowledgments

We thank the members of the “Atelier de Phénoménologie Expérientielle” (Marseille) for their participation to this study as well as Dr Dias-Alvez for producing the ellipse sound in water with the graphic tablet. This work is partly supported by the French National Research Agency and is part of the “Sonimove” project (Grant No. ANR-14-CE24-0018).

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Correspondence to Jean Vion-Dury .

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Vion-Dury, J. et al. (2021). How Would You Reproduce a Synthetic Sound of an Ellipse in Water? A Phenomenological Investigation of Pre-reflexive Contents of Consciousness. In: Kronland-Martinet, R., Ystad, S., Aramaki, M. (eds) Perception, Representations, Image, Sound, Music. CMMR 2019. Lecture Notes in Computer Science(), vol 12631. Springer, Cham. https://doi.org/10.1007/978-3-030-70210-6_29

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  • DOI: https://doi.org/10.1007/978-3-030-70210-6_29

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