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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/79042

Title:	Streaming audio classification in Smart Home environments
Authors:	Liao, Wen Hung;Wen, Jing Yao;Kuo, J.-H. 廖文宏;溫景堯
Contributors:	資科系
Keywords:	Audio classification;Bilateral filters;computational auditory analysis;Local binary patterns;Smart homes;Audition;Automation;Computer vision;Content based retrieval;Intelligent buildings;Audio acoustics
Date:	2011
Issue Date:	2015-10-26 15:31:53 (UTC+8)
Abstract:	In this research, we develop and integrate methods for real-time streaming audio classification based on psychoacoustic models of hearing as well as techniques in pattern recognition. Specifically, a framework for auditory event detection and signal description by means of computer vision approach has been designed to enable real-time processing and classification of audio signals present in home environments. Local binary patterns are employed to describe the extracted sound blobs in the spectrogram. Experimental results show that the proposed approach is quite effective, achieving an overall recognition rate of 80-90% for 8 types of audio input. The performance degrades only slightly in the presence of noise and other interferences. © 2011 IEEE.
Relation:	1st Asian Conference on Pattern Recognition, ACPR 2011
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1109/ACPR.2011.6166676
DOI:	10.1109/ACPR.2011.6166676
Appears in Collections:	[資訊科學系] 會議論文

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