Similarity Analysis of Modern Genre Music Based on Billboard Hits. Pooransingh, A. & Dhoray, D. IEEE Access, 9:144916–144926, 2021. Conference Name: IEEE Accessdoi abstract bibtex Mainstream music can be popularly categorized into specific genres: Rock, Country, Hip Hop, contemporary rhythm and blues (R&B) and Pop. Music of these genres are continually complied on the Billboard music charts based on popularity. This paper explores the uniqueness of these genres and the possible melding of acoustic characteristics over time. Principal Component Analysis (PCA) are applied to timbral and non-timbral characteristics and compared for each genre. Results show that Hip Hop and Pop maintained a unique distinction over time compared to the other genres while Rock, Country and R&B began to share similar acoustic characteristics within recent times. Further analysis make an attempt to predict the trend of the acoustic nature of genres.
@article{pooransingh_similarity_2021,
title = {Similarity {Analysis} of {Modern} {Genre} {Music} {Based} on {Billboard} {Hits}},
volume = {9},
issn = {2169-3536},
doi = {10.1109/ACCESS.2021.3122386},
abstract = {Mainstream music can be popularly categorized into specific genres: Rock, Country, Hip Hop, contemporary rhythm and blues (R\&B) and Pop. Music of these genres are continually complied on the Billboard music charts based on popularity. This paper explores the uniqueness of these genres and the possible melding of acoustic characteristics over time. Principal Component Analysis (PCA) are applied to timbral and non-timbral characteristics and compared for each genre. Results show that Hip Hop and Pop maintained a unique distinction over time compared to the other genres while Rock, Country and R\&B began to share similar acoustic characteristics within recent times. Further analysis make an attempt to predict the trend of the acoustic nature of genres.},
journal = {IEEE Access},
author = {Pooransingh, Akash and Dhoray, Dylan},
year = {2021},
note = {Conference Name: IEEE Access},
keywords = {Acoustics, Feature extraction, Frequency measurement, High frequency, Mel frequency cepstral coefficient, Music information retrieval, Principal component analysis, Rhythm, acoustic applications, principal component analysis},
pages = {144916--144926},
}
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