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The Effects of Mode, Pitch, and Dynamics on Valence in Piano Scales and Chord Progressions

Hong, Yu, Mo, Ronald K. and Horner, Andrew (2018) The Effects of Mode, Pitch, and Dynamics on Valence in Piano Scales and Chord Progressions. In: International Computer Music Conference, Aug 5, 2018 - Fri, Aug 10, 2018, Daegu, South Korea.

Item Type: Conference or Workshop Item (Paper)

Abstract

Previous research has investigated how emotional characteristics of the piano vary with different pitches and dynamic levels for individual notes. Going further, this work considers valence trends with different pitches, dynamic
levels, and modes in piano scales and chord progression. The results confirm that for scales, Harmonic Minor was significantly more negative than the other Minor modes, while for chords, Natural Minor was significantly more
negative than the other Minor modes. The results shed light on what types of musical examples are most likely to result in contrary examples, meaning
Major but negative in mood, or Minor but positive in mood. Contrary Major examples are most likely to occur in the low pitch range between C1 and C3. Surprisingly, extremely high chords are about equally likely to be judged
negative or positive in mood. Contrary Minor examples are most likely to occur in the middle and high register between C3 and C7. Among the factors we tested, pitch range made the biggest difference in valence, perhaps sur-
prisingly even more than mode. These results help to expose valence trends which are especially useful for student composers in developing their musical intuition, as well as for film and computer game composers who need to provide music that follows a mood set by the Director.

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More Information

Depositing User: Ronald Mo

Identifiers

Item ID: 15842
URI: http://sure.sunderland.ac.uk/id/eprint/15842
Official URL: http://hdl.handle.net/2027/spo.bbp2372.2018.002

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: Yu Hong
Author: Andrew Horner

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Performing Arts > Music
Computing

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