<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

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

Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, PO Box: 51178, Riyadh 11543, Saudi Arabia

Center of Excellence in Information Assurance, King Saud University, Riyadh, Saudi Arabia

Journal of Electrical Engineering

Environment recognition from digital audio for forensics application is a growing area of interest. However, compared to other branches of audio forensics, it...

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

Online veröffentlicht: 26. Aug. 2011

Seitenbereich: 199 - 205

DOI: https://doi.org/10.2478/v10187-011-0032-0

Schlüsselwörter
audio forensics, environment recognition, MPEG-7 audio, MFCC

This content is open access.

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

Online veröffentlicht: 26. Aug. 2011

Seitenbereich: 199 - 205

DOI: https://doi.org/10.2478/v10187-011-0032-0

Schlüsselwörteraudio forensics, environment recognition, MPEG-7 audio, MFCC

This content is open access.

Schlüsselwörter
audio forensics, environment recognition, MPEG-7 audio, MFCC