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˜The œinternational Arab journal of information technology最新文献

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Environment Recognition for Digital Audio Forensics Using MPEG-7 and MEL Cepstral Features 基于MPEG-7和MEL倒谱特征的数字音频取证环境识别
Pub Date : 2011-07-01 DOI: 10.2478/v10187-011-0032-0
Muhammad Ghulam, K. Alghathbar
Environment Recognition for Digital Audio Forensics Using MPEG-7 and MEL Cepstral Features Environment recognition from digital audio for forensics application is a growing area of interest. However, compared to other branches of audio forensics, it is a less researched one. Especially less attention has been given to detect environment from files where foreground speech is present, which is a forensics scenario. In this paper, we perform several experiments focusing on the problems of environment recognition from audio particularly for forensics application. Experimental results show that the task is easier when audio files contain only environmental sound than when they contain both foreground speech and background environment. We propose a full set of MPEG-7 audio features combined with mel frequency cepstral coefficients (MFCCs) to improve the accuracy. In the experiments, the proposed approach significantly increases the recognition accuracy of environment sound even in the presence of high amount of foreground human speech.
基于MPEG-7和MEL倒谱特征的数字音频取证环境识别是一个越来越受关注的领域。然而,与音频取证的其他分支相比,它是一个研究较少的分支。特别是很少注意从存在前景语音的文件中检测环境,这是一个取证场景。在本文中,我们进行了几个实验,重点研究了音频环境识别问题,特别是在取证应用中。实验结果表明,仅包含环境声音的音频文件比同时包含前景语音和背景环境的音频文件更容易完成任务。我们提出了一套完整的MPEG-7音频特征与mel倒谱系数(mfccc)相结合,以提高精度。在实验中,即使存在大量的前景人类语音,该方法也显著提高了环境声音的识别精度。
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引用次数: 25
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Database 分布式同构数据库的快速加密隐私保护关联规则挖掘
Pub Date : 2008-09-03 DOI: 10.1007/978-3-540-85565-1_75
A. El-Sisi
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引用次数: 52
期刊
˜The œinternational Arab journal of information technology
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