By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators discuss new findings in Information Forensics and Security. According to news reporting out of Dearborn, Michigan, by VerticalNews editors, research stated, "An audio recording is subject to a number of possible distortions and artifacts. Consider, for example, artifacts due to acoustic reverberation and background noise."
Our news journalists obtained a quote from the research from the University of Michigan, "The acoustic reverberation depends on the shape and the composition of the room, and it causes temporal and spectral smearing of the recorded sound. The background noise, on the other hand, depends on the secondary audio source activities present in the evidentiary recording. Extraction of acoustic cues from an audio recording is an important but challenging task. Temporal changes in the estimated reverberation and background noise can be used for dynamic acoustic environment identification (AEI), audio forensics, and ballistic settings. We describe a statistical technique based on spectral subtraction to estimate the amount of reverberation and nonlinear filtering based on particle filtering to estimate the background noise. The effectiveness of the proposed method is tested using a data set consisting of speech recordings of two human speakers (one male and one female) made in eight acoustic environments using four commercial grade microphones. Performance of the proposed method is evaluated for various experimental settings such as microphone independent, semi-and full-blind AEI, and robustness to MP3 compression. Performance of the proposed framework is also evaluated using Temporal Derivative-based Spectrum and Mel-Cepstrum (TDSM)-based features. Experimental results show that the proposed method improves AEI performance compared with the direct method (i.e., feature vector is extracted from the audio recording directly)."
According to the news editors, the research concluded: "In addition, experimental results also show that the proposed scheme is robust to MP3 compression attack."
For more information on this research see: Audio Recording Location Identification Using Acoustic Environment Signature. IEEE Transactions on Information Forensics and Security, 2013;8(11):1746-1759. IEEE Transactions on Information Forensics and Security can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; IEEE Transactions on Information Forensics and Security - ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10206)
Our news journalists report that additional information may be obtained by contacting H. Zhao, University of Michigan, Dept. of Elect & Comp Engn, Dearborn, MI 48128, United States.
Keywords for this news article include: Dearborn, Michigan, United States, North and Central America, Information Forensics and Security
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