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Nowadays, meta-data and audio descriptors extraction (used in classification, for instance) is engaged in a rather blind and brute-force method, computing the most possible and then selecting what works using an often long and boring statistical analysis. Moreover, this analysis barely takes into account the intrinsic sense these descriptors may carry. Mana is graphical user-interface (GUI) based system that aims at adding a bit of human supervision in the process, combining state-of-the-art classification methods (in audio-content extraction and classification) with an ease of use that provides the user with direct control over descriptors and their significance in classification.
Author (s): Wack, Nicolas;
Affiliation:
Music Technology Group, Institut Universitari de l`Audiovisual, Universitat Pompeu Fabra, Barcelona, Spain
(See document for exact affiliation information.)
AES Convention: 117
Paper Number:6205
Publication Date:
2004-10-06
Session subject:
Music Synthesis; Audio Archiving, Storage, and Restoration: Content Management
DOI:
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Wack, Nicolas; 2004; Mana, a Tool for Human-Supervised Statistical Analysis in Audio-Content Extraction [PDF]; Music Technology Group, Institut Universitari de l`Audiovisual, Universitat Pompeu Fabra, Barcelona, Spain; Paper 6205; Available from: https://aes.org/publications/elibrary-page/?id=12862
Wack, Nicolas; Mana, a Tool for Human-Supervised Statistical Analysis in Audio-Content Extraction [PDF]; Music Technology Group, Institut Universitari de l`Audiovisual, Universitat Pompeu Fabra, Barcelona, Spain; Paper 6205; 2004 Available: https://aes.org/publications/elibrary-page/?id=12862
@inproceedings{Wack2004mana,
title={{Mana, a Tool for Human-Supervised Statistical Analysis in Audio-Content Extraction}},
author={Wack, Nicolas},
year={2004},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 6205; AES Convention 117; October 2004},
number={6205},
organization={AES},
}
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