Mode - the mode of the song where major is 0 and minor is 1.
Loudness - the overall loudness of the song in decibels. Liveness - the likelihood that a song was performed in front of an audience. Hotttnesss - the popularity of the song, 0 is least, 100 is most. 0 is least danceable, 100 is most danceable.ĭuration - the length of the song in seconds.Įnergy - the overall energy of the song, 0 is least, 100 is most. 44,745 unique artists w/dated tracks starting from 1922ĭanceability - how danceable a song is.Collection of audio features and metadata for 1,000,000 contemporary popular.International Society for Music Information Retrieval.Music information: bibliographical, surveys, tags,.Combines concepts and techniques from music,Ĭomputer science, signal processing and cognition.Music data, through research, development andĪpplication of computational approaches and tools Aims to extend the understanding and usefulness of.Clustering (K-means, GMM/EM, Hierarchical).Classification (Bagging, Naive Bayes, SVM, NN, KNN).What are the characteristics by which we can “classify” the genre of a song?.What makes one song similar to another?.Not entirely sure why Aerosmith and Red Hot Chilly Peppers have 11 songs, but maybe it’s because they came out with more songs, too.I met an engineer who represented Spotify,.
#Million song dataset terms weight download
By the way, this is metadata…I didn’t casually download 10,000 songs and make a hadoop cluster to compute, although this could potentially go there… Each song has a number of features but we’re interested in