Exploring annotations for musical pattern discovery gathered with digital annotation tools

Tomašević, Darian (avtor), Wells, Stephan (avtor), Yuping Ren, Iris (avtor), Volk, Anja (avtor), Pesek, Matevž (avtor)

The study of inter-annotator agreement in musical pattern annotations has gained increased attention over the past few years. While expert annotations are often taken as the reference for evaluating pattern discovery algorithms, relying on just one reference is not usually sufficient to capture the complex musical relations between patterns. In this paper, we address the potential of digital annotation tools to enable large-scale annotations of musical patterns, by comparing datasets gathered with two recently developed digital tools. We investigate the influence of the tools and different annotator backgrounds on the annotation process by performing inter-annotator agreement analysis and feature-based analysis on the annotated patterns. We discuss implications for further adaptation of annotation tools, and the potential for deriving reference data from such rich annotation datasets for the evaluation of automatic pattern discovery algorithms in the future.

• Jezik: Angleški jezik
• Ključne besede: musical pattern, digital annotation tool, inter-annotator agreement, feature analysis
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: Str. 194-207
• Številčenje: Vol. 15, no. 2
• PID: 20.500.12556/RUL-141157
• UDK: 004:78
• ISSN pri članku: 1745-9745
• DOI: 10.1080/17459737.2021.1943026
• COBISS.SI-ID: 71378691
• Datum objave v RUL: 23.09.2022

Gradivo je del revije

• Naslov: Journal of mathematics and music
• Založnik: Taylor & Francis
• ISSN: 1745-9745
• COBISS.SI-ID: 522161433

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: glasbeni vzorec, digitalna orodja za anotacijo, strinjanje anotatorjev, analiza značilk