Training Dataset
We use three audio features and one music genre to represent the type of songs:
Energy: a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. Perceptual features contributing to this attribute include dynamic range, perceived loudness, timbre, onset rate, and general entropy.
Acousticness: a confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.
Valence: a measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).
Genres: a type the genres the track is associated with.
Genres class: acoustic, chill, club, dancehall, happy, holidays, party, rainy-day, road-trip, romance, sad, sleep, study, summer, work-out
Scenario Examples:
- Energy
- Acousticness
- Valence
- Genres
Energy: a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. Perceptual features contributing to this attribute include dynamic range, perceived loudness, timbre, onset rate, and general entropy.
Acousticness: a confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.
Valence: a measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).
Genres: a type the genres the track is associated with.
Genres class: acoustic, chill, club, dancehall, happy, holidays, party, rainy-day, road-trip, romance, sad, sleep, study, summer, work-out
Scenario Examples:
The given example describes the following scenario: it’s a bright(luminosity=8) morning(Time of Day=morning), with pleasant weather(Weather=1), the road is clear(traffic=1.782471) and the user is driving in an acceptable speed(speed=85.94818). The criterion of choosing genre and audio features for the given scenario is comes from personalized preference.