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N. Vryzas, A. Katsaounidou, R. Kotsakis, CH. A.. Dimoulas, and G. Kalliris, "Investigation of Audio Tampering in Broadcast Content," Paper 10007, (2018 May.). doi: N. Vryzas, A. Katsaounidou, R. Kotsakis, CH. A.. Dimoulas, and G. Kalliris, "Investigation of Audio Tampering in Broadcast Content," Paper 10007, (2018 May.). doi:
Abstract: Audio content forgery detection in broadcasting is crucial to prevent misinformation spreading. Tools for the authentication of audio files can be proven very useful, and several techniques have been proposed. In the current paper a database for evaluation of such techniques is introduced. A script was created for automatic generation of tampered audio files, given a number of original source files that contain recorded speech, while they have been encoded in different audio formats (Mp3, AAC, AMR, FLAC) and bitrates and finally they were used to generate the tampered audio files. The database was subjectively evaluated by experts in terms of samples changing audibility. The effect of tampering on several audio features was tested, in order to propose semi-automatic methods for discrimination between the original and tampered files. The database and the scripts are publically accessible so that researchers can use the pre-generated files or use the script to create datasets oriented to their research interests.

@article{vryzas2018investigation,
author={vryzas, nikolaos and katsaounidou, anastasia and kotsakis, rigas and dimoulas, charalampos a. and kalliris, george},
journal={journal of the audio engineering society},
title={investigation of audio tampering in broadcast content},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},} @article{vryzas2018investigation,
author={vryzas, nikolaos and katsaounidou, anastasia and kotsakis, rigas and dimoulas, charalampos a. and kalliris, george},
journal={journal of the audio engineering society},
title={investigation of audio tampering in broadcast content},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={audio content forgery detection in broadcasting is crucial to prevent misinformation spreading. tools for the authentication of audio files can be proven very useful, and several techniques have been proposed. in the current paper a database for evaluation of such techniques is introduced. a script was created for automatic generation of tampered audio files, given a number of original source files that contain recorded speech, while they have been encoded in different audio formats (mp3, aac, amr, flac) and bitrates and finally they were used to generate the tampered audio files. the database was subjectively evaluated by experts in terms of samples changing audibility. the effect of tampering on several audio features was tested, in order to propose semi-automatic methods for discrimination between the original and tampered files. the database and the scripts are publically accessible so that researchers can use the pre-generated files or use the script to create datasets oriented to their research interests.},}

TY - paper
TI - Investigation of Audio Tampering in Broadcast Content
SP - EP -
AU - Vryzas, Nikolaos
AU - Katsaounidou, Anastasia
AU - Kotsakis, Rigas
AU - Dimoulas, Charalampos A.
AU - Kalliris, George
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018 TY - paper
TI - Investigation of Audio Tampering in Broadcast Content
SP - EP -
AU - Vryzas, Nikolaos
AU - Katsaounidou, Anastasia
AU - Kotsakis, Rigas
AU - Dimoulas, Charalampos A.
AU - Kalliris, George
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018
AB - Audio content forgery detection in broadcasting is crucial to prevent misinformation spreading. Tools for the authentication of audio files can be proven very useful, and several techniques have been proposed. In the current paper a database for evaluation of such techniques is introduced. A script was created for automatic generation of tampered audio files, given a number of original source files that contain recorded speech, while they have been encoded in different audio formats (Mp3, AAC, AMR, FLAC) and bitrates and finally they were used to generate the tampered audio files. The database was subjectively evaluated by experts in terms of samples changing audibility. The effect of tampering on several audio features was tested, in order to propose semi-automatic methods for discrimination between the original and tampered files. The database and the scripts are publically accessible so that researchers can use the pre-generated files or use the script to create datasets oriented to their research interests.