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1
What Do Less Accurate Singers Remember? Pitch-matching Ability and Long-term Memory for Music
In: Faculty Journal Articles (2022)
Abstract: We have only a partial understanding of how people remember nonverbal information such as melodies. Although once learned, melodies can be retained well over long periods of time, remembering newly presented melodies is on average quite difficult. People vary considerably, however, in their level of success in both memory situations. Here, we examine a skill we anticipated would be correlated with memory for melodies: the ability to accurately reproduce pitches. Such a correlation would constitute evidence that melodic memory involves at least covert sensorimotor codes. Experiment 1 looked at episodic memory for new melodies among non-musicians, both overall and with respect to the Vocal Memory Advantage (VMA): the superiority in remembering melodies presented as sung on a syllable compared to rendered on an instrument. Although we replicated the VMA, our prediction that better pitch matchers would have a larger VMA was not supported, although there was a modest correlation with memory for melodies presented in a piano timbre. Experiment 2 examined long-term memory for the starting pitch of familiar recorded music. Participants selected the starting note of familiar songs on a keyboard, without singing. Nevertheless, we found that better pitch-matchers were more accurate in reproducing the correct starting note. We conclude that sensorimotor coding may be used in storing and retrieving exact melodic information, but is not so useful during early encounters with melodies, as initial coding seems to involve more derived properties such as pitch contour and tonality.
Keyword: absolute pitch memory; Cognitive Psychology; singing accuracy; vocal memory advantage
URL: https://digitalcommons.bucknell.edu/fac_journ/1874
https://digitalcommons.bucknell.edu/cgi/viewcontent.cgi?article=2945&context=fac_journ
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2
The Effect of Self-Distancing on Emotion Regulation and Autobiographical Remembering ...
Dilek, Senanur. - : Open Science Framework, 2022
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3
Isolating the locus of informational interference during speech-in-noise perception: the role of temporal predictability ...
Knight, Sarah. - : Open Science Framework, 2022
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4
Information Specificity in Referring Expressions ...
Kumar, Abhilasha. - : Open Science Framework, 2022
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5
Exploring stimulus onset timings: The effect of repeating object and word pairings on adults novel object recognition ...
Brown, Anna. - : Open Science Framework, 2022
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6
Linguistic intergroup bias and persistence of stereotype-affirming memory ...
Lee, Junho. - : Open Science Framework, 2022
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7
Movies with imaginary worlds cluster together because of exploration-related terms in plot summaries ...
Dubourg, Edgar. - : Open Science Framework, 2022
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8
Linguistic intergroup bias and persistence of stereotype-affirming memory - Addendum 04.26.2022 ...
Lee, Junho. - : Open Science Framework, 2022
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9
Leibniz Dream: Children's comprehension of conjunctive expressions in Georgian. ...
Bill, Cory. - : Open Science Framework, 2022
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10
Testing the pitch-luminance mapping in humans and in a group of Guinea baboons. A replication of Ludwig et al. (2011) study. ...
Margiotoudi, Konstantina. - : Open Science Framework, 2022
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11
Gendered Language and the Visual World: A Meta-Analysis ...
Gravelle, Donnan. - : Open Science Framework, 2022
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12
Isolating the locus of informational interference during speech-in-noise perception: energetic masking vs. intelligibility ...
Knight, Sarah. - : Open Science Framework, 2022
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13
Reading in the Developing Brain ... : From Preliteracy to Fluent Reading ...
Liebig, Johanna. - : Freie Universität Berlin, 2022
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14
Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Teaching Version) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Teaching Version) ...
Liebig, Stefan; Goebel, Jan; Grabka, Markus. - : SOEP Socio-Economic Panel Study, 2022
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15
Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Add-on: Area Types) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Add-on: Area Types) ...
Liebig, Stefan; Goebel, Jan; Grabka, Markus. - : SOEP Socio-Economic Panel Study, 2022
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16
Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Onsite Edition) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Onsite Edition) ...
Liebig, Stefan; Goebel, Jan; Grabka, Markus. - : SOEP Socio-Economic Panel Study, 2022
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17
Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Add-on: Planning regions) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Add-on: Planning regions) ...
Liebig, Stefan; Goebel, Jan; Grabka, Markus. - : SOEP Socio-Economic Panel Study, 2022
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18
Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, EU Edition) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, EU Edition) ...
Liebig, Stefan; Goebel, Jan; Grabka, Markus. - : SOEP Socio-Economic Panel Study, 2022
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19
Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, International Edition) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, International Edition) ...
Liebig, Stefan; Goebel, Jan; Grabka, Markus. - : SOEP Socio-Economic Panel Study, 2022
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20
Sozio-oekonomisches Panel, Daten der Jahre 1984-2020 (SOEP-Core, v37, Remote Edition) ... : Socio-Economic Panel, data from 1984-2020, (SOEP-Core, v37, Remote Edition) ...
Liebig, Stefan; Goebel, Jan; Grabka, Markus. - : SOEP Socio-Economic Panel Study, 2022
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