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The Effects of Convolution Reverberation on the Emotional Characteristics of Musical Instrument Sounds

This is the latest version of this item.

Mo, Ronald and Horner, Andrew (2024) The Effects of Convolution Reverberation on the Emotional Characteristics of Musical Instrument Sounds. Computer Music Journal, 47 (2). ISSN 1531-5169

Item Type: Article

Abstract

Previous work has shown that the emotional characteristics of musical instrument sounds are significantly changed with parametric reverberation. But, do the parametric reverberation results also apply to real concert hall 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 emotional characteristics compared to parametric reverberation. This makes sense since convolution reverberation is often regarded as warmer, more natural, and smoother than parametric reverberation, which is often regarded as blander by comparison. Halls with shorter reverberation times emphasized the emotional characteristics Angry and Comic, while medium reverberation times emphasized the characteristics of Happy, Heroic, and Shy, and longer reverberation times emphasized the characteristics of Calm, Mysterious, Romantic, Sad, and Scary. While the results were more pronounced for convolution reverberation compared to parametric reverberation, there was also a strikingly strong agreement in their results, and the 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 — a reflection of their deep underlying functional similarities despite their fundamentally different implementations.

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More Information

Additional Information: This is the author’s final version. The article has been accepted for publication in Computer Music Journal.
Depositing User: Ronald Mo

Identifiers

Item ID: 17984
Identification Number: https://doi.org/10.1162/comj_a_00684
ISSN: 1531-5169
URI: http://sure.sunderland.ac.uk/id/eprint/17984
Official URL: https://direct.mit.edu/comj/article-abstract/doi/1...

Users with ORCIDS

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

Catalogue record

Date Deposited: 11 Sep 2024 14:25
Last Modified: 11 Sep 2024 14:30

Contributors

Author: Ronald Mo ORCID iD
Author: Andrew Horner

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing > Human-Computer Interaction
Performing Arts > Music

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