Predicting Musical Meaning in Audio Branding Scenarios

TY - GEN

T1 - Predicting Musical Meaning in Audio Branding Scenarios

AU - Herzog, Martin

AU - Lepa, Steffen

AU - Steffens, Jochen

AU - Schoenrock, Andreas

AU - Egermann, Hauke Wolfgang

PY - 2017/7/31

Y1 - 2017/7/31

N2 - This paper describes the concept of applying automatic music recommendation to the audio branding domain. We describe our approach of developing a prediction model for the perceived expressive content of music which is based on a large-scale listening experiment. We present an orthogonal 4-factor model for measuring musical expression as outcome variable, whereas audio- and music features as well as lyric-based features are introduced as prediction variables in the model. Furthermore, we describe Random Forest Regression as a concept for feature selection required to develop a Multi-Level Regression Model, which is taking individual listener parameters into account. Finally, we present first results from a preliminary stepwise regression model for perceived musical expression.

AB - This paper describes the concept of applying automatic music recommendation to the audio branding domain. We describe our approach of developing a prediction model for the perceived expressive content of music which is based on a large-scale listening experiment. We present an orthogonal 4-factor model for measuring musical expression as outcome variable, whereas audio- and music features as well as lyric-based features are introduced as prediction variables in the model. Furthermore, we describe Random Forest Regression as a concept for feature selection required to develop a Multi-Level Regression Model, which is taking individual listener parameters into account. Finally, we present first results from a preliminary stepwise regression model for perceived musical expression.

KW - Music Branding

KW - Audio Branding

KW - Musical Semantics

KW - Music Information Retrieval

UR - http://www.escom2017.org/abstractsandproceedings/

M3 - Conference contribution

SP - 75

EP - 79

BT - Proceedings of the 25th Anniversary Conference of the European Society for Cognitive Science of Music, Ghent, Belgium, 31 July – 4 August 2017

A2 - Van Dyck, E.

PB - ESCOM

T2 - European Society for Cognitive Sciences Of Music Conference

Y2 - 31 July 2017 through 4 August 2017

ER -