Spectral and Dynamic Analyses of Popular Music Playlists: The Concept of Presence Optimization for Digital Music Streaming Playback

Tamer YB. Spectral and Dynamic Analyses of Popular Music Playlists: The Concept of Presence Optimization for Digital Music Streaming Playback. J Audio Eng Soc. 2021;69(5):309-322. doi:10.17743/jaes.2021.0006

@article{Tamer2021_21036,
  author = {Tamer, Yahya Burak},
  title = {{Spectral and Dynamic Analyses of Popular Music Playlists: The Concept of Presence Optimization for Digital Music Streaming Playback}},
  journal = {Journal of the Audio Engineering Society},
  volume = {69},
  number = {5},
  pages = {309--322},
  year = {2021},
  month = may,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2021.0006},
  url = {https://doi.org/10.17743/jaes.2021.0006}
}

TY  - JOUR
TI  - Spectral and Dynamic Analyses of Popular Music Playlists: The Concept of Presence Optimization for Digital Music Streaming Playback
AU  - Tamer, Yahya Burak
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 69
IS  - 5
SP  - 309
EP  - 322
PY  - 2021
DA  - 2021/05/06
DO  - 10.17743/jaes.2021.0006
UR  - https://doi.org/10.17743/jaes.2021.0006
PB  - Audio Engineering Society
LA  - en
AB  - Digital streaming has become the most popular way to experience music today. Loudness normalization applied by streaming services allows for the restoration of dynamic contrast, yet the hypercompressed production trends sustain. This paper studies current dynamic and spectral tendencies through integrated loudness and long-term average spectrum (LTAS) analyses of popular music playlists offered by digital streaming services. Deviations from the large-scale spectral characterizations provided by earlier studies on popular music LTAS were investigated and an increase in the slope of the presence band was observed. The paper concludes with recommendations for the optimization of the presence band using digital filtering via metadata during streaming playback.
ER  -