Automixing of multitrack material using modified loudness models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
LanguageEnglish
Title of host publication145th AES Convention
Subtitle of host publicationAES Convention Papers
EditorsAreti Andreopoulou, Braxton Boren
PublisherAudio Engineering Society
Number of pages7
ISBN (Print)9781942220251
DOIs
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
http://www.aes.org/events/145/ (Link to Exhibition Website)

Exhibition

Exhibition145th International Audio Engineering Society Pro Audio Convention
Abbreviated titleAES
CountryUnited States
CityNew York
Period17/10/1820/10/18
Internet address

Cite this

Fenton, S. (2018). Automixing of multitrack material using modified loudness models. In A. Andreopoulou, & B. Boren (Eds.), 145th AES Convention: AES Convention Papers [10041] Audio Engineering Society. https://doi.org/10.17743/aesconv.2018.978-1-942220-25-1
Fenton, Steven. / Automixing of multitrack material using modified loudness models. 145th AES Convention: AES Convention Papers. editor / Areti Andreopoulou ; Braxton Boren. Audio Engineering Society, 2018.
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Fenton, S 2018, Automixing of multitrack material using modified loudness models. in A Andreopoulou & B Boren (eds), 145th AES Convention: AES Convention Papers., 10041, Audio Engineering Society, 145th International Audio Engineering Society Pro Audio Convention, New York, United States, 17/10/18. https://doi.org/10.17743/aesconv.2018.978-1-942220-25-1

Automixing of multitrack material using modified loudness models. / Fenton, Steven.

145th AES Convention: AES Convention Papers. ed. / Areti Andreopoulou; Braxton Boren. Audio Engineering Society, 2018. 10041.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.

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Fenton S. Automixing of multitrack material using modified loudness models. In Andreopoulou A, Boren B, editors, 145th AES Convention: AES Convention Papers. Audio Engineering Society. 2018. 10041 https://doi.org/10.17743/aesconv.2018.978-1-942220-25-1