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Typically, speaker identification examination requires two audio recordings: a voice sample and a questionable recording. The questionable one is in most of the cases the intercepted or recorded phone call. As far as mobile phones became the most popular way of communication, the biggest part of questionable recordings comes from GSM channels. They use special algorithms and devices to transmit the speech signal through GSM channel, but these devices and algorithms change the original signal, thus the possibility of usage of such a recording for speaker identification becomes doubtful. In this paper we study how GSM channel changes the formants position (frequencies) of speech signal and how inverse filtration helps to compensate this influence of channel on speech signal and on forensic speaker identification performance.
Author (s): Barinov, Andrey;
Koval, Sergey;
Ignatov, Pavel;
Stolbov, Mikhail;
Affiliation:
Speech Technology Center (STC), Saint Petersburg, Russia
(See document for exact affiliation information.)
Publication Date:
2010-06-06
Session subject:
Speech and Forensics - Voice Identification
DOI:
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Barinov, Andrey; Koval, Sergey; Ignatov, Pavel; Stolbov, Mikhail; 2010; Channel Compensation for Forensic Speaker Identification Using Inverse Processing [PDF]; Speech Technology Center (STC), Saint Petersburg, Russia; Paper 2-3; Available from: https://aes.org/publications/elibrary-page/?id=15495
Barinov, Andrey; Koval, Sergey; Ignatov, Pavel; Stolbov, Mikhail; Channel Compensation for Forensic Speaker Identification Using Inverse Processing [PDF]; Speech Technology Center (STC), Saint Petersburg, Russia; Paper 2-3; 2010 Available: https://aes.org/publications/elibrary-page/?id=15495
@inproceedings{Barinov2010channel,
title={{Channel Compensation for Forensic Speaker Identification Using Inverse Processing}},
author={Barinov, Andrey and Koval, Sergey and Ignatov, Pavel and Stolbov, Mikhail},
year={2010},
month={jun},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 2-3; AES Conference: 39th International Conference: Audio Forensics: Practices and Challenges; June 2010},
number={2-3},
organization={AES},
}
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