This work investigates the perceptual accuracy of the ITU-Recommendation BS.1770 loudness algorithm when employed in a basic auto mixing system. Optimal filter parameters previously proposed by the author, which incorporate modifications to both the pre-filter response and the integration window sizes are tested against the standard K-weighted model and filter parameters proposed through other studies. The validation process encompassed two stages, the first being the elicitation of preferred mix parameters used by the mixing system and the subsequent generation of automatic mixes based on these rules utilizing the various filter parameters. A controlled listening test was then employed to evaluate the listener preferences to the completed mixes. It is concluded that the optimized filter parameter set based upon stem type, results in a more perceptually accurate automatic mix being achieved.
|Title of host publication||145th Audio Engineering Society International Convention, AES 2018|
|Subtitle of host publication||AES Convention Papers|
|Editors||Areti Andreopoulou, Braxton Boren|
|Publisher||Audio Engineering Society|
|Number of pages||7|
|Publication status||Published - 7 Oct 2018|
|Event||145th International Audio Engineering Society Pro Audio Convention - Javits Centre, New York, United States|
Duration: 17 Oct 2018 → 20 Oct 2018
Conference number: 145
http://www.aes.org/events/145/ (Link to Exhibition Website)
|Exhibition||145th International Audio Engineering Society Pro Audio Convention|
|Period||17/10/18 → 20/10/18|
Fenton, S. (2018). Automatic Mixing of Multitrack Material Using Modified Loudness Models. In A. Andreopoulou, & B. Boren (Eds.), 145th Audio Engineering Society International Convention, AES 2018: AES Convention Papers  Audio Engineering Society.