A Music and Lyric Analysis of 259 Finalists from the Eurovision Song Contest 2010-2019
Songs for Europe: a music and lyric analysis of 259 finalists from the Eurovision Song Contest 2010-2019 Prof Joe Bennett (Berklee College of Music, USA), Simon Troup (Digital Music Art, UK) Abstract: This corpus study provides an overview of the common musical and lyric characteristics of songs from the Eurovision Song Contest (ESC) during the past decade. It uses as its dataset 259 songs, comprising the 25-27 finalists in each year’s Grand Final. Hard data includes high-level musical characteristics such as tempo, key, tonality, dynamic range, and melodic pitch range. Soft data includes lyric themes and musical style. Song styles were categorized according to six ‘archetypes’, adapted from existing categories suggested by previous ESC journalism and academic writing.1 Lyric themes were categorized according to six core themes identified by the researchers through detailed listening and text analysis. The full corpus was analysed, to discuss common musical and lyric characteristics of each archetype, and high and low-scoring subgroups were compared, to investigate whether there are common music or lyric characteristics that correlate with success (measured in numbers of aggregated points per song). Methodology included computer-aided audio analysis (BPM detection, dynamic range), subjective listening (archetype and lyric classification), music analysis (key centre, tonality) and statistical analysis of the dataset. The research, which is an ongoing project 2020-2021, aims to identify the high-level characteristics (of tonality, archetype, lyric theme, dynamic range, tempo etc) exhibited by finalists, and to investigate any characteristics that differentiate winners and other high- scoring songs. 2 1 Jess Carniel, “‘Schlager’, Scandi-Pop and Sparkles: Your Guide to the Musical Styles of Eurovision,” The Conversation, May 9, 2018, http://theconversation.com/schlager-scandi-pop-and-sparkles-your-guide-to-the-musical-styles-of-eurovision-96268.
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