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Cognitive Computation and Systems
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Cognitive Computation and Systems
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Cognitive Computation and Systems
Article . 2022
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Article . 2022
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Influence of musical elements on the perception of ‘Chinese style’ in music

Authors: Yu Zhang 0186; Ziya Zhou; Maosong Sun 0001;

Influence of musical elements on the perception of ‘Chinese style’ in music

Abstract

Abstract Recently Chinese music has been regarded as an independent music school. However, the definition of Chinese music has been an abstract and subjective concept. That makes music information retrieval (MIR) tasks hard to perform on Chinese music. Previous musicological studies have explained how musical elements like melody and instruments shape a certain kind of music genre including Chinese music, but the findings cannot be directly applied to relevant MIR tasks towards large‐scale users and real‐world problems. In this study, a pipeline of performing a perceptual survey is designed to explore how different musical elements influence people's perception of ‘Chinese style’ in music. Participants with various backgrounds were presented with categorised music excerpts performed in the Erhu or violin and then gave ‘Chinese style’ ratings. Statistical analysis indicates that music content contributes more than instruments. Results were compared between musicians and non‐musicians. Subsequently, a supplementary automatic music classification experiment is conducted in comparison with the survey results to discuss the authors’ choice of stimuli in the survey and similarities between computer auditory and human perception. In general, the results in this study can be useful for MIR tasks, such as understanding, representation, and recommendation of Chinese music.

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Keywords

TK7885-7895, Computer engineering. Computer hardware, automatic music style classification, music perception, Computer applications to medicine. Medical informatics, music information retrieval, R858-859.7, Chinese music style

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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