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Partial loudness can be used as high-level, perceptually relevant metadata in the context of semantic audio, especially in multitrack mixtures or wherever masking scenarios are desired. Subjective evaluation of the partial loudness model of Glasberg and Moore on multitrack signals in the form of equal loudness matching experiment is presented. The observed results imply that the current model underrates the partial loudness perceived by the subjects. We analyze the underlying features and propose a parameter modification in the implementation of the partial loudness model that yields better compliance for musical signals.
Author (s): Ma, Zheng; Reiss, Joshua D.; Black, Dawn A. A.
Affiliation:
Queen Mary University of London, London, UK
(See document for exact affiliation information.)
Publication Date:
2014-01-06
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Session subject:
Intelligent Audio Production Using Semantic Analysis
Permalink: https://aes2.org/publications/elibrary-page/?id=17098
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Ma, Zheng; Reiss, Joshua D.; Black, Dawn A. A.; 2014; Partial Loudness in Multitrack Mixing [PDF]; Queen Mary University of London, London, UK; Paper S2-3; Available from: https://aes2.org/publications/elibrary-page/?id=17098
Ma, Zheng; Reiss, Joshua D.; Black, Dawn A. A.; Partial Loudness in Multitrack Mixing [PDF]; Queen Mary University of London, London, UK; Paper S2-3; 2014 Available: https://aes2.org/publications/elibrary-page/?id=17098