Forensic Voice Identification Utilizing Digitally Extracted Speech Characteristics

Smith JM, Sanders R. Forensic Voice Identification Utilizing Digitally Extracted Speech Characteristics. In: AES Convention 125. Audio Engineering Society; 2008. Paper 7644. Available from: https://aes.org/publications/elibrary-page/?id=14795

@inproceedings{Smith2008_14795,
  author = {Smith, Jeff M. and Sanders, Richard},
  title = {{Forensic Voice Identification Utilizing Digitally Extracted Speech Characteristics}},
  booktitle = {AES Convention 125},
  note = {Paper 7644},
  year = {2008},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14795}
}

TY  - CPAPER
TI  - Forensic Voice Identification Utilizing Digitally Extracted Speech Characteristics
AU  - Smith, Jeff M.
AU  - Sanders, Richard
T2  - AES Convention 125
M1  - Paper 7644
PY  - 2008
DA  - 2008/10/06
UR  - https://aes.org/publications/elibrary-page/?id=14795
PB  - Audio Engineering Society
LA  - en
AB  - By combining modern capabilities in the digital domain with more traditional methods of aural comparison and spectrographic inspection, the acquisition of identity from recorded evidence can be executed with greater confidence. To aid the Audio Forensic Examiner’s efforts in this, an effective approach to manual voice identification is presented here. To this end, this paper relates the research into and application of unique vocal characteristics utilized by the SIDNI (Speaker Identification by Numerical Imprint) automated system of voice identification to manual forensic investigation. Some characteristics include: fundamental speaking frequency, rate of vowels, proportional relationships in spectral distribution, amplitude of speech, and perturbation measurements.
ER  -