Investigating Music Production Using a Semantically Powered Digital Audio Workstation in the Browser

Jillings N, Stables R. Investigating Music Production Using a Semantically Powered Digital Audio Workstation in the Browser. In: AES Conference: 2017 AES International Conference on Semantic Audio. Audio Engineering Society; 2017. Paper P1-7. Available from: https://aes.org/publications/elibrary-page/?id=18770

@inproceedings{Jillings2017_18770,
  author = {Jillings, Nicholas and Stables, Ryan},
  title = {{Investigating Music Production Using a Semantically Powered Digital Audio Workstation in the Browser}},
  booktitle = {AES Conference: 2017 AES International Conference on Semantic Audio},
  note = {Paper P1-7},
  year = {2017},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18770}
}

TY  - CPAPER
TI  - Investigating Music Production Using a Semantically Powered Digital Audio Workstation in the Browser
AU  - Jillings, Nicholas
AU  - Stables, Ryan
T2  - AES Conference: 2017 AES International Conference on Semantic Audio
M1  - Paper P1-7
PY  - 2017
DA  - 2017/06/06
UR  - https://aes.org/publications/elibrary-page/?id=18770
PB  - Audio Engineering Society
LA  - en
AB  - In this study, we present an online music production tool that facilitates the capture of time-series audio and session data, including action history. This allows us to analyse sessions and infer production decisions based on actions made to the user interface. We conduct an experiment in which mix engineers were asked to use the system to perform a balance mix, then we provide observations made using the system. We show that participants often exhibit commonalities in mixing styles when applying gain and panning to specific instruments in a mix, and demonstrate common temporal characteristics relating to the magnitude of parameter adjustments.
ER  -