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

Duncan, PJ, Mohammed, DY and Li, FF 2014, Audio information mining - pragmatic review, outlook and a universal open architecture , in: 136th convention of the Audio Engineering Society, 25th 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 generalise and we propose a non-exclusive generalised 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)
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: 136th Convention of the Audio Engineering Society
Publisher: AES E-Library
Related URLs:
Depositing User: Duraid Yehya Mohammed
Date Deposited: 07 Jul 2017 08:00
Last Modified: 08 Aug 2017 10:39
URI: http://usir.salford.ac.uk/id/eprint/42876

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