Catalog Home Page

Enhanced LBP texture features from time frequency representations for acoustic scene classification

Abidin, S., Togneri, R. and Sohel, F. (2017) Enhanced LBP texture features from time frequency representations for acoustic scene classification. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017, 5 - 9 March 2017, New Orleans, LA, USA

Link to Published Version: https://doi.org/10.1109/ICASSP.2017.7952231
*Subscription may be required

Abstract

This paper introduces the use of local binary patterns (LBP) extracted from a time-frequency representation (TFR) for acoustic scene classification. As LBP provides a description of the global TFR texture we propose a novel zoning mechanism that provides a simple solution to extract spectrally relevant local features which better characterize the audio TFRs. To further improve the classification performance, we perform feature and score level fusion of the proposed LBP (with zoning) with histogram of gradients (HOG) of the TFR images. Our technique demonstrates an improved performance by achieving a classification accuracy of 95.2% using a fusion of time-frequency derived features.

Publication Type: Conference Paper
Murdoch Affiliation: School of Engineering and Information Technology
URI: http://researchrepository.murdoch.edu.au/id/eprint/37925
Item Control Page Item Control Page