Automatic Mixing of Multitrack Material Using Modified Loudness Models

Fenton S. Automatic Mixing of Multitrack Material Using Modified Loudness Models. In: AES Convention 145. Audio Engineering Society; 2018. Paper 10041. Available from: https://aes.org/publications/elibrary-page/?id=19767

@inproceedings{Fenton2018_19767,
  author = {Fenton, Steven},
  title = {{Automatic Mixing of Multitrack Material Using Modified Loudness Models}},
  booktitle = {AES Convention 145},
  note = {Paper 10041},
  year = {2018},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19767}
}

TY  - CPAPER
TI  - Automatic Mixing of Multitrack Material Using Modified Loudness Models
AU  - Fenton, Steven
T2  - AES Convention 145
M1  - Paper 10041
PY  - 2018
DA  - 2018/10/06
UR  - https://aes.org/publications/elibrary-page/?id=19767
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -