Environment recognition for digital audio forensics using MPEG-7 and mel cepstral features
Joint Authors
Muhammad, Ghulam
al-Ghathbar, Khalid
Source
The International Arab Journal of Information Technology
Issue
Vol. 10, Issue 1 (31 Jan. 2013)8 p.
Publisher
Publication Date
2013-01-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Topics
Abstract EN
Invinroment 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.
American Psychological Association (APA)
Muhammad, Ghulam& al-Ghathbar, Khalid. 2013. Environment recognition for digital audio forensics using MPEG-7 and mel cepstral features. The International Arab Journal of Information Technology،Vol. 10, no. 1.
https://search.emarefa.net/detail/BIM-311968
Modern Language Association (MLA)
Muhammad, Ghulam& al-Ghathbar, Khalid. Environment recognition for digital audio forensics using MPEG-7 and mel cepstral features. The International Arab Journal of Information Technology Vol. 10, no. 1 (Jan. 2013).
https://search.emarefa.net/detail/BIM-311968
American Medical Association (AMA)
Muhammad, Ghulam& al-Ghathbar, Khalid. Environment recognition for digital audio forensics using MPEG-7 and mel cepstral features. The International Arab Journal of Information Technology. 2013. Vol. 10, no. 1.
https://search.emarefa.net/detail/BIM-311968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references.
Record ID
BIM-311968