2016
DOI: 10.1525/mp.2016.34.1.104
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Modeling Perceptions of Valence in Diverse Music

Abstract: WE INVESTIGATE THE ROLES OF THE ACOUSTIC parameters intensity and spectral flatness in the modeling of continuously measured perceptions of affect in nine diverse musical extracts. The extract sources range from Australian Aboriginal and Balinese music, to classical music from Mozart to minimalism and Xenakis; and include jazz, ambient, drum n' bass and performance text. We particularly assess whether modeling perceptions of the valence expressed by the music, generally modeled less well than the affective dim… Show more

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Cited by 10 publications
(8 citation statements)
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“…While the phrases in most sound-based music do not derive from physical aspects of performance, they may be constructed compositionally so that they sound analogous to such performance, perhaps because of the connections we have raised with speech or those with larger evolutionary and environmental acoustic factors. Our evidence for the role of perceived agency in perception of affect in sound-based music suggests this connection may be present but modest [78]. …”
Section: Discussionmentioning
confidence: 99%
“…While the phrases in most sound-based music do not derive from physical aspects of performance, they may be constructed compositionally so that they sound analogous to such performance, perhaps because of the connections we have raised with speech or those with larger evolutionary and environmental acoustic factors. Our evidence for the role of perceived agency in perception of affect in sound-based music suggests this connection may be present but modest [78]. …”
Section: Discussionmentioning
confidence: 99%
“…A final aim was to investigate the time course of musical synchrony judgments, in particular via continuous ratings of synchrony by participants. Continuous ratings have proven to be informative in studies of emotional response to music (e.g., Dean & Bailes, 2016;Dean, Bailes, & Dunsmuir, 2014;Schubert, 2004) and performance quality more broadly (Thompson, Williamon, & Valentine, 2007), but have been rare in research on interpersonal musical coordination (see Vicary, Sperling, Zimmermann, Richardson, & Orgs, 2017, for an example from the dance research domain). Such an approach is clearly warranted given that temporal relationships between co-performers unfold and evolve over time.…”
Section: The Present Researchmentioning
confidence: 99%
“…The more powerful and general analyses were done with the larger Dataset 2, involving nine diverse musical extracts. Models of perceived change in this dataset have not been published previously; rather, the dataset has been used to investigate perceptions of larger scale musical structure and to model influences of acoustic and other factors on perceived affect (Dean & Bailes, 2016). In our CSTSA using every individual participant response series within the model, up to 5 lags were again permitted in each case, both to match the earlier analyses and on the basis of separately estimated order criteria using Vector Autoregression in the "vars" package in R. This also constrained the number of potential predictors under assessment (circa 45 fixed effects including the autoregressive lags) to an appropriate range (substantially smaller than the number of events) even given that the shortest excerpt under study had only 160 time series events, though many repeated responses.…”
Section: Autoregressive Time Series Analysis (Tsa) and Cross-sectionamentioning
confidence: 99%
“…In the second analysis, which was more general and wide ranging (given more extensive data), we considered whether SPS in the context of a range of other spectral parameters can contribute to new cross-sectional time series predictive models of perception of change in nine diverse pieces, both sound-and note-based, together with hybrid work. No previous modeling of continuous perception of change in these pieces has been undertaken, rather they have been studied in relation to continuous perception of affect (e.g., Dean & Bailes, 2016). The pieces ranged from Australian indigenous music to Miles Davis, electroacoustic music, and sound-text, as summarized in Tables 1 and 2. Before commencing the CSTSA, we considered the possible correlation of the eight acoustic features being studied across the music excerpt Dataset 2.…”
Section: Roles Of Sps In the Diverse Pieces Of Datasetmentioning
confidence: 99%