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A Perceiver-Centered Approach for Representing and Annotating Prosodic Functions in Performed Music.

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Summary

This study introduces a citizen science approach to analyze musical prosody, focusing on listener annotations to understand segmentation and prominence in piano music.

Keywords:
annotationmusic performanceprominenceprosodyrepresentationsegmentation

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Area of Science:

  • Musicology
  • Cognitive Science
  • Computational Auditory Processing

Background:

  • Musical prosody, crucial for expression, lacks systematic study tools.
  • Existing research often uses bottom-up methods mapping acoustics to prosody.
  • A scalable, human-centered approach is needed to study prosodic functions.

Purpose of the Study:

  • To develop and evaluate a novel citizen science method for capturing musical prosodic functions.
  • To investigate the relationship between listener annotations, musical structure, and acoustic properties.
  • To create a reliable dataset for theoretical and data-driven models of musical prosody.

Main Methods:

  • A top-down, human-centered approach utilizing listener annotations via the CosmoNote citizen science platform.
  • Annotation types include boundaries, regions, note groups, and comments for segmentation and prominence.
  • Exploration of various annotation strategies (intuitive vs. analytical, real-time vs. retrospective, audio vs. visual).

Main Results:

  • Demonstration of a novel citizen science paradigm for studying musical prosody.
  • Collection of listener annotations on segmentation and prominence in solo piano music.
  • Discussion of data collection processes, annotation strategies, and error prevention techniques.

Conclusions:

  • The developed method provides a scalable and effective tool for analyzing musical prosody.
  • Listener-driven annotations offer valuable insights into musical structure and expression.
  • The project aims to establish an annotation convention for studying prosody in performed music.