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Environment Recognition for Digital Audio Forensics Using MPEG-7 and Mel Cepstral Features

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Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Ghulam Muhammad, Khaled Alghathbar, IAJIT
Dibuat : 2012-06-23, dengan 1 file

Keyword : Audio forensics, environment recognition, MPEG-7 audio, MFCC.
Subjek : Environment Recognition for Digital Audio Forensics Using MPEG-7 and Mel Cepstral Features
Url : http://www.ccis2k.org/iajit/PDF/vol.10,no.1/2860-3.pdf
Sumber pengambilan dokumen : Internet

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.

Deskripsi Alternatif :

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.

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