Proceedings ArticleDOI
Detecting splicing in digital audios using local noise level estimation
Xunyu Pan,Xing Zhang,Siwei Lyu +2 more
- pp 1841-1844
TLDR
This paper proposes an effective splicing detection method for audios by detecting abnormal differences in the local noise levels in an audio signal and demonstrates the efficacy and robustness of the proposed method using both synthetic and realistic audio splicing forgeries.Abstract:
One common form of tampering in digital audio signals is known as splicing, where sections from one audio is inserted to another audio. In this paper, we propose an effective splicing detection method for audios. Our method achieves this by detecting abnormal differences in the local noise levels in an audio signal. This estimation of local noise levels is based on an observed property of audio signals that they tend to have kurtosis close to a constant in the band-pass filtered domain. We demonstrate the efficacy and robustness of the proposed method using both synthetic and realistic audio splicing forgeries.read more
Citations
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Journal ArticleDOI
Exposing Region Splicing Forgeries with Blind Local Noise Estimation
Siwei Lyu,Xunyu Pan,Xing Zhang +2 more
TL;DR: An effective method to expose region splicing by revealing inconsistencies in local noise levels, based on the fact that images of different origins may have different noise characteristics introduced by the sensors or post-processing steps.
Journal ArticleDOI
Acoustic Environment Identification and Its Applications to Audio Forensics
TL;DR: A statistical technique to model and estimate the amount of reverberation and background noise variance in an audio recording is described and an energy-based voice activity detection method is proposed for automatic decaying-tail-selection from anaudio recording.
Journal ArticleDOI
Audio Recording Location Identification Using Acoustic Environment Signature
Zhao Hong,Hafiz Malik +1 more
TL;DR: 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), and the proposed scheme is robust to MP3 compression attack.
Journal ArticleDOI
Blind Detection of Copy-Move Forgery in Digital Audio Forensics
TL;DR: This paper proposes a novel method for blind detection and localization of copy-move forgery, employing a chaotic theory to copy and move the text in generated forged recordings to ensure forgery localization at any place in a recording.
Journal ArticleDOI
ESPRIT-Hilbert-Based Audio Tampering Detection With SVM Classifier for Forensic Analysis via Electrical Network Frequency
Paulo Max Gil Innocencio Reis,Joao Paulo C. L. da Costa,Ricardo Kehrle Miranda,Giovanni Del Galdo +3 more
TL;DR: A new technique to detect adulterations in audio recordings is proposed by exploiting abnormal variations in the electrical network frequency (ENF) signal eventually embedded in a questioned audio recording.
References
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Darpa Timit Acoustic-Phonetic Continuous Speech Corpus CD-ROM {TIMIT} | NIST
John S. Garofolo,Lori Lamel,W M. Fisher,Jonathan G. Fiscus,David S. Pallett,Nancy L. Dahlgren +5 more
Dataset
TIMIT Acoustic-Phonetic Continuous Speech Corpus
John S. Garofolo,Lori Lamel,William M. Fisher,Jonathan C. Fiscus,David S. Pallett,Nancy L. Dahlgren,Victor W. Zue +6 more
TL;DR: The TIMIT corpus as mentioned in this paper contains broadband recordings of 630 speakers of eight major dialects of American English, each reading ten phonetically rich sentences, including time-aligned orthographic, phonetic and word transcriptions as well as a 16-bit, 16kHz speech waveform file for each utterance.
Journal ArticleDOI
A comparison of SNR estimation techniques for the AWGN channel
D.R. Pauluzzi,Norman C. Beaulieu +1 more
TL;DR: The performances of several signal-to noise ratio (SNR) estimation techniques reported in the literature are compared to identify the "best" estimator and some known estimator structures are modified to perform better on the channel of interest.
Book ChapterDOI
Statistical tools for digital forensics
Alin C. Popescu,Hany Farid +1 more
TL;DR: This work describes several statistical techniques for detecting traces of digital tampering in the absence of any digital watermark or signature, and quantifies statistical correlations that result from specific forms ofdigital tampering.
Journal ArticleDOI
Spread-spectrum watermarking of audio signals
TL;DR: This paper presents several novel mechanisms for effective encoding and detection of direct-sequence spread-spectrum watermarks in audio signals and explores the security implications and watermark robustness on a benchmark suite that includes a combination of audio processing primitives.