Automatic Mixing of Multitrack Material Using Modified Loudness Models

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


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.
Original languageEnglish
Title of host publication145th Audio Engineering Society International Convention, AES 2018
Subtitle of host publicationAES Convention Papers
EditorsAreti Andreopoulou, Braxton Boren
PublisherAudio Engineering Society
Number of pages7
ISBN (Print)9781942220251
Publication statusPublished - 7 Oct 2018
Event145th International Audio Engineering Society Pro Audio Convention - Javits Centre, New York, United States
Duration: 17 Oct 201820 Oct 2018
Conference number: 145 (Link to Exhibition Website)


Exhibition145th International Audio Engineering Society Pro Audio Convention
Abbreviated titleAES 2018
Country/TerritoryUnited States
CityNew York
Internet address


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