Audio information mining pragmatic review, outlook and a universal open architecture

Duncan, PJ, Mohammed, DY and Li, FF ORCID: https://orcid.org/0000-0001-9053-963X 2014, Audio information mining pragmatic review, outlook and a universal open architecture , in: Audio Engineering Society 136th Convention, 26-29 April 2014, Berlin.

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Abstract

There is an immense amount of audio data available currently whose content is unspecified and the problem of classification and generation of metadata poses a significant and challenging research problem. We present a review of past and current work in this field; specifically in the three principal areas of segmentation, feature extraction and classification and give an overview and critical appraisal of techniques currently in use. One of the major impediments to progress in the field has been specialism and the inability of classifiers to generalize and we propose a nonexclusive generalized open architecture framework for classification of audio data which will accommodate third party plugins and work with multi-dimensional feature/descriptor space as input.

Item Type:	Conference or Workshop Item (Paper)
Themes:	Media, Digital Technology and the Creative Economy
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Publisher:	Audio Engineering Society (AES)
Refereed:	Yes
Related URLs:	Publisher
Funders:	Iraqi Government sponsored Ph.D
Depositing User:	PJ Duncan
Date Deposited:	03 Jul 2015 16:32
Last Modified:	15 Feb 2022 19:16
URI:	https://usir.salford.ac.uk/id/eprint/34693

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