English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A piece of music can be expressively performed, or interpreted, in a varietyof ways. With the help of an online questionnaire, the Con Espressione Game, wecollected some 1,500 descriptions of expressive character relating to 45performances of 9 excerpts from classical piano pieces, played by differentfamous pianists. More specifically, listeners were asked to describe, usingfreely chosen words (preferably: adjectives), how they perceive the expressivecharacter of the different performances. In this paper, we offer a firstaccount of this new data resource for expressive performance research, andprovide an exploratory analysis, addressing three main questions: (1) howsimilarly do different listeners describe a performance of a piece? (2) whatare the main dimensions (or axes) for expressive character emerging from this?;and (3) how do measurable parameters of a performance (e.g., tempo, dynamics)and mid- and high-level features that can be predicted by machine learningmodels (e.g., articulation, arousal) relate to these expressive dimensions? Thedataset that we publish along with this paper was enriched by addinghand-corrected score-to-performance alignments, as well as descriptive audiofeatures such as tempo and dynamics curves.

On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game