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Abstract
Sensory information processing is inherently multimodal. An organism normally perceives the environment using all its senses simultaneously. Crossmodal correspondence might take place at any stage of neural processing (Spence 2011; Deroy & Spence 2016). A wealth of studies have has provided evidence that many non-arbitrary correspondences exist between auditory and visual stimulus features (Bresin 2005; Palmer et al. 2013; Whiteford et al. 2018). However, few studies take electroacoustic music compositions as substrate for stimuli, despite the great variations of timbre within and across such works. Time series analysis in music perception and cognition (Schubert 2001; Pearce 2011) has gained traction. This paper describes a method to evaluate audio-to-visual correspondences by analysing large multivariate time series with sonic features, extracted computationally, and perceptual visual colour associations, gathered empirically.
Original language | English |
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Title of host publication | PROCEEDINGS OF THE 2nd INTERNATIONAL CONFERENCE ON TIMBRE |
Place of Publication | Greece |
Publisher | Aristotle University of Thessaloniki |
Pages | 75-78 |
ISBN (Electronic) | 9789609984577 |
Publication status | Published - Sept 2020 |
Event | 2nd International Conference on Timbre - A Virtual Conference, Thessaloniki, Greece Duration: 3 Sept 2020 → 4 Sept 2020 |
Conference
Conference | 2nd International Conference on Timbre |
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Abbreviated title | Timbre 2020 |
Country/Territory | Greece |
City | Thessaloniki |
Period | 3/09/20 → 4/09/20 |
Research Keywords
- MIR
- music information retrieval
- timbre
- time series
- Granger causality
- electroacoustic music
- sound art
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Dive into the research topics of 'Which Timbral Features Granger-Cause Colour Associations to Music?'. Together they form a unique fingerprint.Activities
- 1 Visiting an external academic institution
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Universitat Pompeu Fabra
LINDBORG, P. M. (Visiting Researcher)
8 Mar 2022Activity: Visiting an external institution › Visiting an external academic institution
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