Results 141 to 150 of about 3,023 (189)
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IEEE Signal Processing Magazine, 2009
The field of audio forensics involves many topics familiar to the general audio digital signal processing (DSP) community, such as speech recognition, talker identification, and signal quality enhancement. There is potentially much to be gained by applying modern DSP theory to problems of interest to the forensics community, and this article is written
Robert C Maher
exaly +2 more sources
The field of audio forensics involves many topics familiar to the general audio digital signal processing (DSP) community, such as speech recognition, talker identification, and signal quality enhancement. There is potentially much to be gained by applying modern DSP theory to problems of interest to the forensics community, and this article is written
Robert C Maher
exaly +2 more sources
Audio recorder forensic identification in 21 audio recorders
2015 IEEE International Conference on Progress in Informatics and Computing (PIC), 2015Audio recorder forensic identification is to determine originating devices of questioned audio recordings. In this paper, statistical features both in time and frequency domains were studied and were used to represent and encode device-related information.
Jinhua Zeng, Shaopei Shi, Qimeng Lu
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Audio forensic marking for music streaming service
2013 International Conference on ICT Convergence (ICTC), 2013In this paper, we propose an audio forensic marking scheme suitable for music streaming service. To support the real time forensic marking embedding, our scheme consists of preparation stage and composition stage. We verified performance, robustness, and imperceptibility of the proposed scheme through some experiments.
Jihyun Park +3 more
exaly +2 more sources
Principles of Forensic Audio Analysis
Modern Acoustics and Signal Processing, 2018exaly +2 more sources
Forensic audio watermark detection
SPIE Proceedings, 2012Digital audio watermarking detection is often computational complex and requires at least as much audio information as required to embed a complete watermark. In some applications, especially real-time monitoring, this is an important drawback. The reason for this is the usage of sync sequences at the beginning of the watermark, allowing a decision ...
Martin Steinebach +2 more
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Audio forensics from acoustic reverberation
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010An audio recording is subject to a number of possible distortions and artifacts. For example, the persistence of sound, due to multiple reflections from various surfaces in a room, causes temporal and spectral smearing of the recorded sound. This distortion is referred to as audio reverberation time.
Hafiz Malik, Hany Farid
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Improved Audio Steganalytic Feature and Its Applications in Audio Forensics
ACM Transactions on Multimedia Computing, Communications, and Applications, 2018Digital multimedia steganalysis has attracted wide attention over the past decade. Currently, there are many algorithms for detecting image steganography. However, little research has been devoted to audio steganalysis. Since the statistical properties of image and audio files are quite different, features that are effective in image steganalysis may ...
Weiqi Luo 0001 +4 more
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Digital audio forensics using background noise
2010 IEEE International Conference on Multimedia and Expo, 2010This paper presents a new audio forensics method based on background noise in the audio signals. The traditional speech enhancement algorithms improve the quality of speech signals, however, existing methods leave traces of speech in the removed noise. Estimated noise using these existing methods contains traces of speech signal, also known as leakage ...
Sohaib Ikram, Hafiz Malik
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Authenticity verification of audio signals based on fragile watermarking for audio forensics
Expert Systems with Applications, 2018Abstract This paper presents a new fragile watermarking method for digital audio authenticity for audio forensics purposes. The aim is to verify if an audio proof has been tampered and to locate the segments where the signal was modified. Our proposal is based on an embedding process of a text that is encoded through OVSF (Orthogonal Variable ...
Diego Renza +2 more
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Proceedings of the 9th workshop on Multimedia & security - MM&Sec '07, 2007
In this paper a first approach for digital media forensics is presented to determine the used microphones and the environments of recorded digital audio samples by using known audio steganalysis features. Our first evaluation is based on a limited exemplary test set of 10 different audio reference signals recorded as mono audio data by four microphones
Christian Krätzer +3 more
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In this paper a first approach for digital media forensics is presented to determine the used microphones and the environments of recorded digital audio samples by using known audio steganalysis features. Our first evaluation is based on a limited exemplary test set of 10 different audio reference signals recorded as mono audio data by four microphones
Christian Krätzer +3 more
openaire +1 more source