Audio Forensics

Course Description

Importance of forensic analysis. Audio sources and acquisitions. Audio recovery and enhancement of analogue and digital media. Cepstral analysis. Voice quality parameters. Vocal characteristics variability and causative factors. Measurement methods of voice quality (spectrography, EGG, LTAS). Voice recognition and comparison with authentic voice samples. The interference of equipment and room acoustics with forensic analysis. Basic features of voice audio signals. Application of machine learning in parameters extraction. Classification of different voice signals

Study Programmes

Postgraduate doctoral study programme


Phil Rose (2003.), Forensic Speaker Identification, CRC Press
Wu Chou, Biing-Hwang Juang (2003.), Pattern Recognition in Speech and Language Processing, CRC Press
Harry Hollien (2013.), The Acoustics of Crime, Springer Science & Business Media

For students


ID 154920
  Summer semester
L2 English Level