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Interesting Reading: Some parts being shared here.
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“After significant statistical analysis involving 102 different pieces of music and 26 different genres and sub-genres, the research team distilled those clusters down to the following: Arousal, Valence, and Depth. According to the study, every single piece of music — across any era, style, or origin — can be accurately described by using those three areas.
These areas are more fully described as follows:
(1) Arousal describes intensity and energy in music;
(2) Valence/Behavior describes the spectrum of emotions in music (from sad to happy);
(3) Depth describes intellect and sophistication in music.
Additionally, the research team also discovered that characteristics describing music from within a single genre(including both rock and jazz) could be accurately broken down by these same three categories. But on the edges of any ‘genre,’ things can be very difficult to classify, which is why most music fans have trouble defining their taste in music.
Indeed, the finding explains why most listeners prefer music that spans multiple genres, radically different styles, and divergent eras. As an example, a lower-intensity chill dubstep track might rank low on the Arousal scale, provoke a mellow emotional Valence, and offer only moderate intellectual sophistication. Those levels could match an acoustic style song, and help to explain why one person likes two seemingly-different styles. Even a laid-back trap song could provoke similar rankings.
“Genre labels are informative but we’re trying to transcend them…”
All of that suggests that genres may be outdated, but more importantly, tied to societal and surface factors that aren’t as directly related to the core music itself. “The findings suggest that this may be a useful alternative to grouping music into genres, which is often based on social connotations rather than the attributes of the actual music,” the research group relayed. “It also suggests that those in academia and in the music industry (e.g. Spotify and Pandora) that are already coding music on a multitude of attributes, might save time and money by coding music around these three composite categories instead.”
At best, genres are clumsy tools to describe music, though at worst they limit our ability to accurately and completely describe a piece of music. “Genre labels are informative but we’re trying to transcend them and move in a direction that points to the detailed characteristics in music that are driving people preferences and emotional reactions,”.
Current Top 10
• JANUARY 2019 •
Dancing with A Stranger – Sam Smith & Normani
Loyal To Me (Luca Schreiner Remix) – Nina Nesbitt
Rainberry – Zayn
Lost in the Fire [CLEAN Version] – The Weeknd Ft. Gesaffelstein
Long Song Away – Kevin Ross
Don’t Call Me Up – Mabel
I’m Good – Wafia
How You Love Me Ft Snoop Dogg – Hardwell
Brand New Day [2019 Version] – Sting
Sexual Vibe [CLEAN Version] – Stephen Puth