QQ客服 官方微博 反馈留言

	Multi frame size feature extraction for acoustic event detection
	Peng, Liqun ; Yang, Deshun ; Chen, Xiaoou
	2014
英文摘要	This paper addresses the problem of detection and recognition of impulsive sounds in surveillance system, such as door slams, footsteps, glass breaks, gunshots and human screams. We build an acoustic event dataset of about 1k sound clips and a ground truth dataset of a surveillance system. We investigate the influence of different frame size in audio feature extraction when classify acoustic events and our result show that the classification accuracy differs from different audio frame sizes. Based on this result, we propose an approach to integrate multi frame size features to generate a new feature set, which can achieve better performance. We build an abnormal acoustic event detection system for surveillance using this feature and adopt a smoothing post process. The experiments show the effectiveness of our proposed approach. ? 2014 Asia-Pacific Signal and Information Processing Ass.; EI
语种	英语
出处	2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
DOI标识	10.1109/APSIPA.2014.7041574
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/423787]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Peng, Liqun,Yang, Deshun,Chen, Xiaoou. Multi frame size feature extraction for acoustic event detection. 2014-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。