Statistical learning and the uncertainty of melody and bass line in music.

Statistical learning is the ability to learn based on transitional probability (TP) in sequential information, which has been considered to contribute to creativity in music. The interdisciplinary theory of statistical learning examines statistical learning as a mechanism of human learning. This stu...

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Main Author: Tatsuya Daikoku
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0226734&type=printable
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author Tatsuya Daikoku
author_facet Tatsuya Daikoku
author_sort Tatsuya Daikoku
collection DOAJ
description Statistical learning is the ability to learn based on transitional probability (TP) in sequential information, which has been considered to contribute to creativity in music. The interdisciplinary theory of statistical learning examines statistical learning as a mechanism of human learning. This study investigated how TP distribution and conditional entropy in TP of the melody and bass line in music interact with each other, using the highest and lowest pitches in Beethoven's piano sonatas and Johann Sebastian Bach's Well-Tempered Clavier. Results for the two composers were similar. First, the results detected specific statistical characteristics that are unique to each melody and bass line as well as general statistical characteristics that are shared between the melody and bass line. Additionally, a correlation of the conditional entropies sampled from the TP distribution could be detected between the melody and bass line. This suggests that the variability of entropies interacts between the melody and bass line. In summary, this study suggested that TP distributions and the entropies of the melody and bass line interact with but are partly independent of each other.
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spelling doaj-art-83d46ab85a5e4b6081d51974a296bb522025-08-20T02:55:17ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011412e022673410.1371/journal.pone.0226734Statistical learning and the uncertainty of melody and bass line in music.Tatsuya DaikokuStatistical learning is the ability to learn based on transitional probability (TP) in sequential information, which has been considered to contribute to creativity in music. The interdisciplinary theory of statistical learning examines statistical learning as a mechanism of human learning. This study investigated how TP distribution and conditional entropy in TP of the melody and bass line in music interact with each other, using the highest and lowest pitches in Beethoven's piano sonatas and Johann Sebastian Bach's Well-Tempered Clavier. Results for the two composers were similar. First, the results detected specific statistical characteristics that are unique to each melody and bass line as well as general statistical characteristics that are shared between the melody and bass line. Additionally, a correlation of the conditional entropies sampled from the TP distribution could be detected between the melody and bass line. This suggests that the variability of entropies interacts between the melody and bass line. In summary, this study suggested that TP distributions and the entropies of the melody and bass line interact with but are partly independent of each other.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0226734&type=printable
spellingShingle Tatsuya Daikoku
Statistical learning and the uncertainty of melody and bass line in music.
PLoS ONE
title Statistical learning and the uncertainty of melody and bass line in music.
title_full Statistical learning and the uncertainty of melody and bass line in music.
title_fullStr Statistical learning and the uncertainty of melody and bass line in music.
title_full_unstemmed Statistical learning and the uncertainty of melody and bass line in music.
title_short Statistical learning and the uncertainty of melody and bass line in music.
title_sort statistical learning and the uncertainty of melody and bass line in music
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0226734&type=printable
work_keys_str_mv AT tatsuyadaikoku statisticallearningandtheuncertaintyofmelodyandbasslineinmusic