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

by   Carlos Cancino-Chacón, et al.

A piece of music can be expressively performed, or interpreted, in a variety of ways. With the help of an online questionnaire, the Con Espressione Game, we collected some 1,500 descriptions of expressive character relating to 45 performances of 9 excerpts from classical piano pieces, played by different famous pianists. More specifically, listeners were asked to describe, using freely chosen words (preferably: adjectives), how they perceive the expressive character of the different performances. In this paper, we offer a first account of this new data resource for expressive performance research, and provide an exploratory analysis, addressing three main questions: (1) how similarly do different listeners describe a performance of a piece? (2) what are 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 learning models (e.g., articulation, arousal) relate to these expressive dimensions? The dataset that we publish along with this paper was enriched by adding hand-corrected score-to-performance alignments, as well as descriptive audio features such as tempo and dynamics curves.


page 1

page 2

page 3

page 4


What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music

In this paper we present preliminary work examining the relationship bet...

A Computational Study of the Role of Tonal Tension in Expressive Piano Performance

Expressive variations of tempo and dynamics are an important aspect of m...

On Perceived Emotion in Expressive Piano Performance: Further Experimental Evidence for the Relevance of Mid-level Perceptual Features

Despite recent advances in audio content-based music emotion recognition...

User Curated Shaping of Expressive Performances

Musicians produce individualized, expressive performances by manipulatin...

The ACCompanion v0.1: An Expressive Accompaniment System

In this paper we present a preliminary version of the ACCompanion, an ex...

The NES Music Database: A multi-instrumental dataset with expressive performance attributes

Existing research on music generation focuses on composition, but often ...

Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music

To model the periodicity of beats, state-of-the-art beat tracking system...

Please sign up or login with your details

Forgot password? Click here to reset