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This upload includes the ESSENTIA analysis output of (a subset of) song snippets from the Million Song Dataset, namely those included in the Taste Profile subset. The audio snippets were collected from 7digital.com and were subsequently analyzed with ESSENTIA 2.1-beta3. Pre-trained SVM models provided by the ESSENTIA authors on their website were applied. The file msd_song_jsons.rar contains the ESSENTIA analysis output after applying the SVM models for highlevel feature extraction. Please note that these are 204317 files. The file msd_played_songs_essentia.csv.gz contains all one-dimensional real-valued fields of the jsons merged into one csv file with 204317 rows. The full procedure and subsequent analysis is described in Fricke, K. R., Greenberg, D. M., Rentfrow, P. J., & Herzberg, P. Y. (2019). Measuring musical preferences from listening behavior: Data from one million people and 200,000 songs. Psychology of Music, 0305735619868280.
million song dataset, ESSENTIA
million song dataset, ESSENTIA
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influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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