AffectMachine-Classical: a novel system for generating affective classical music
This work introduces a new music generation system, called AffectMachine-Classical, that is capable of generating affective Classic music in real-time. AffectMachine was designed to be incorporated into biofeedback systems (such as brain-computer-interfaces) to help users become aware of, and ultima...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1158172/full |
| _version_ | 1797810176721420288 |
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| author | Kat R. Agres Kat R. Agres Adyasha Dash Phoebe Chua |
| author_facet | Kat R. Agres Kat R. Agres Adyasha Dash Phoebe Chua |
| author_sort | Kat R. Agres |
| collection | DOAJ |
| description | This work introduces a new music generation system, called AffectMachine-Classical, that is capable of generating affective Classic music in real-time. AffectMachine was designed to be incorporated into biofeedback systems (such as brain-computer-interfaces) to help users become aware of, and ultimately mediate, their own dynamic affective states. That is, this system was developed for music-based MedTech to support real-time emotion self-regulation in users. We provide an overview of the rule-based, probabilistic system architecture, describing the main aspects of the system and how they are novel. We then present the results of a listener study that was conducted to validate the ability of the system to reliably convey target emotions to listeners. The findings indicate that AffectMachine-Classical is very effective in communicating various levels of Arousal (R2 = 0.96) to listeners, and is also quite convincing in terms of Valence (R2 = 0.90). Future work will embed AffectMachine-Classical into biofeedback systems, to leverage the efficacy of the affective music for emotional wellbeing in listeners. |
| first_indexed | 2024-03-13T07:04:16Z |
| format | Article |
| id | doaj.art-3ecccf339db74eabb6464126db62cdea |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-03-13T07:04:16Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-3ecccf339db74eabb6464126db62cdea2023-06-06T13:29:15ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-06-011410.3389/fpsyg.2023.11581721158172AffectMachine-Classical: a novel system for generating affective classical musicKat R. Agres0Kat R. Agres1Adyasha Dash2Phoebe Chua3Yong Siew Toh Conservatory of Music, National University of Singapore, Singapore, SingaporeCentre for Music and Health, National University of Singapore, Singapore, SingaporeYong Siew Toh Conservatory of Music, National University of Singapore, Singapore, SingaporeAugmented Human Lab, DISA, National University of Singapore, Singapore, SingaporeThis work introduces a new music generation system, called AffectMachine-Classical, that is capable of generating affective Classic music in real-time. AffectMachine was designed to be incorporated into biofeedback systems (such as brain-computer-interfaces) to help users become aware of, and ultimately mediate, their own dynamic affective states. That is, this system was developed for music-based MedTech to support real-time emotion self-regulation in users. We provide an overview of the rule-based, probabilistic system architecture, describing the main aspects of the system and how they are novel. We then present the results of a listener study that was conducted to validate the ability of the system to reliably convey target emotions to listeners. The findings indicate that AffectMachine-Classical is very effective in communicating various levels of Arousal (R2 = 0.96) to listeners, and is also quite convincing in terms of Valence (R2 = 0.90). Future work will embed AffectMachine-Classical into biofeedback systems, to leverage the efficacy of the affective music for emotional wellbeing in listeners.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1158172/fullautomatic music generation systemalgorithmic compositionmusic MedTechemotion regulationlistener validation studyaffective computing |
| spellingShingle | Kat R. Agres Kat R. Agres Adyasha Dash Phoebe Chua AffectMachine-Classical: a novel system for generating affective classical music Frontiers in Psychology automatic music generation system algorithmic composition music MedTech emotion regulation listener validation study affective computing |
| title | AffectMachine-Classical: a novel system for generating affective classical music |
| title_full | AffectMachine-Classical: a novel system for generating affective classical music |
| title_fullStr | AffectMachine-Classical: a novel system for generating affective classical music |
| title_full_unstemmed | AffectMachine-Classical: a novel system for generating affective classical music |
| title_short | AffectMachine-Classical: a novel system for generating affective classical music |
| title_sort | affectmachine classical a novel system for generating affective classical music |
| topic | automatic music generation system algorithmic composition music MedTech emotion regulation listener validation study affective computing |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1158172/full |
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