On the Influence of Alcohol Intoxication on Speaker Recognition

Geiger J, Zhang B, Schuller B, Rigoll G. On the Influence of Alcohol Intoxication on Speaker Recognition. In: AES Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society; 2014.pp. 4-1:1-7. Available from: https://aes.org/publications/elibrary-page/?id=17087

@inproceedings{Geiger2014_17087,
  author = {Geiger, Jürgen and Zhang, Boxin and Schuller, Björn and Rigoll, Gerhard},
  title = {{On the Influence of Alcohol Intoxication on Speaker Recognition}},
  booktitle = {AES Conference: 53rd International Conference: Semantic Audio},
  pages = {4-1:1-7},
  year = {2014},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17087}
}

TY  - CPAPER
TI  - On the Influence of Alcohol Intoxication on Speaker Recognition
AU  - Geiger, Jürgen
AU  - Zhang, Boxin
AU  - Schuller, Björn
AU  - Rigoll, Gerhard
T2  - AES Conference: 53rd International Conference: Semantic Audio
SP  - 1
EP  - 7
M1  - Paper 4-1
PY  - 2014
DA  - 2014/01/06
UR  - https://aes.org/publications/elibrary-page/?id=17087
PB  - Audio Engineering Society
LA  - en
AB  - In this paper we present a study of the influence of alcohol intoxication on an automatic speaker verification system. It is widely known that alcohol intoxication affects one's speech in many ways, but it remains to be studied how well a system can recognise a person affected by alcohol intoxication. Using the Alcohol Language Corpus as speech database and a text-independent GMM-UBM speaker verification system, we perform experiments to analyse the effects of alcohol intoxication in detail. In different experimental setups, using recordings in either sober or alcoholised condition for speaker enrolment or testing, the influence of intoxication on the error rate of the speaker verification system is investigated. Compared to the baseline experiment without alcohol intoxication, the results indicate a generally negative influence of alcohol intoxication on the verification system. This influence is larger for female speakers compared to males.
ER  -