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The ITU-Recommendation BS.1770 is now established throughout most of the broadcast industry. Program loudness measurement is undertaken through the summation of K-weighted energy and this summation typically involves material that is broadband in nature. We undertook listening tests to investigate the performance of the K-weighting filter in relation to perceived loudness of narrower band stimuli, namely octave-band pink noise and individual stems of a multitrack session. We propose two alternative filters based on the discrepancies found and evaluate their performance using different measurement window sizes. The new filters yield better performance accuracy for both pink noise stimuli and certain types of multitrack stem. Finally, we propose an informed set of parameters that may improve loudness prediction in auto mixing systems.
Author (s): Fenton, Steven; Lee, Hyunkook
Affiliation:
University of Huddersfield, Huddersfield, West Yorkshire, UK; University of Huddersfield, Huddersfield, UK
(See document for exact affiliation information.)
AES Convention: 143
Paper Number:9818
Publication Date:
2017-10-06
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Session subject:
Perception
Permalink: https://aes2.org/publications/elibrary-page/?id=19215
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Fenton, Steven; Lee, Hyunkook; 2017; Alternative Weighting Filters for Multi-Track Program Loudness Measurement [PDF]; University of Huddersfield, Huddersfield, West Yorkshire, UK; University of Huddersfield, Huddersfield, UK; Paper 9818; Available from: https://aes2.org/publications/elibrary-page/?id=19215
Fenton, Steven; Lee, Hyunkook; Alternative Weighting Filters for Multi-Track Program Loudness Measurement [PDF]; University of Huddersfield, Huddersfield, West Yorkshire, UK; University of Huddersfield, Huddersfield, UK; Paper 9818; 2017 Available: https://aes2.org/publications/elibrary-page/?id=19215