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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

The Effects of Convolution Reverberation on the Emotional Characteristics

Mo, Ronald K. and Horner, Andrew (2017) The Effects of Convolution Reverberation on the Emotional Characteristics. In: International Computer Music Conference, Oct 16, 2017 - Oct 20, 2017, Shanghai, China.

Item Type: Conference or Workshop Item (Paper)

Abstract

Previous work has shown that the emotional characteristics of musical instrument sounds are significantly changed with parametric reverberation. This paper considers the effects of reverberation time on the emotional characteristics of instrument sounds with convolution reverberation. We compared eight musical instruments and ten emotional characteristics over five hall impulse responses ranging from the 1-second Royal National Theatre to the 5-second King’s College Chapel. The results showed that convolution reverberation had more pronounced effects on the emotional characteristics compared to parametric reverberation. While the results were more pronounced for convolution reverberation compared to parametric reverberation, there was also a strikingly strong agreement in their results, and correlation coefficient between them was 0.74 over all emotional characteristics. This strong correlation indicates that reverberation time has a remarkably consistent effect on the emotional characteristics regardless of
whether using convolution or parametric reverberation.

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More Information

Depositing User: Ronald Mo

Identifiers

Item ID: 15841
URI: http://sure.sunderland.ac.uk/id/eprint/15841
Official URL: http://hdl.handle.net/2027/spo.bbp2372.2017.074

Users with ORCIDS

ORCID for Ronald K. Mo: ORCID iD orcid.org/0000-0002-8746-2069

Catalogue record

Date Deposited: 22 Mar 2023 15:59
Last Modified: 17 Apr 2023 12:00

Contributors

Author: Ronald K. Mo ORCID iD
Author: Andrew Horner

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Performing Arts > Music
Computing

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