Machine Learning
Dance
Machine Learning was released on April 30, 2025 by Cri-One as a part of the album Machine Learning
Melodicness
How much the song possesses a clear and memorable tune that follows well-defined musical patterns. A song high in melodicness generally features clear and memorable instrumental or vocal lines.
Acousticness
A measure of how much a song relies on acoustic instruments (eg. piano, guitar, violin, drums, saxophone) instead of electronic or digitally synthesized
Valence
The musical positivity or emotional tone conveyed through the song's harmonic and rhythmic components. High valence corresponds to feelings of happiness, excitement, and euphoria while low valence is associated with sadness, anger, or melancholy.
Danceability
A combination of factors including tempo stability, rhythmic patterns, and beat emphasis to determine how suitable a song is for dancing. A "danceable" song may feature a consistent tempo, repetitive musical structure, and strong downbeats.
Energy
The perceived intensity of a track which may be influenced by tempo, dynamics, and musical compactness. A high energy song may have a driving rhythm and dense instrumentation while a low energy song can be musically sparse and feature slower tempos.
BPM134
Credits
PERFORMING ARTISTS
Cri-One
Performer
Christopher G Brown
Synthesizer
COMPOSITION & LYRICS
Christopher G Brown
Composer
PRODUCTION & ENGINEERING
Cri-One
Producer
