Combining multiple phoneme-based classifiers with audio feature-based classifier for the detection of alcohol intoxication

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2011, Pages 3205-3208

  Montacié, Claude ^a   Caraty, Marie José ^b  

^a Histoire   (France)

^b Huawei Technologies Co   (France)

Author keywords

Classifiers combination; Phoneme based classifiers; Speaker's alcohol intoxication detection

Indexed keywords

ALCOHOL INTOXICATION; BASELINE SYSTEMS; FEATURE-BASED; SVM CLASSIFIERS;

COMPUTER SIMULATION;

COMPUTER APPLICATIONS;

EID: 84865776154     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Schuller, B., Batliner, A., Steidl, S., Schiel, F. and Krajewski, J., "The INTERSPEECH 2011 Speaker State Challenge", in Proc. Interspeech 2011, Florence, Italy, 2011.
2. Levit, M., Huber, R., Batliner, A. and Noeth, E., "Use of prosodic speech characteristics for automated detection of alcohol intoxication", in Proc. of the Workshop on Prosody and Speech Recognition, 2001.
3. Schiel, F., Heinrich, C. and Neumeyer, V., "Rhythm and formant features for automatic alcohol detection", Interspeech, 458-461, Makuhari, Japan, 2010.
4. Sigmund, M., Prokes, A. and Zelinka, P., "Detection of Alcohol in Speech Signal using LF Model From Proceeding", (674) Artificial Intelligence and Applications, 2010.
5. Schuller, B., Steidl, S. and Batliner, A., "The INTERSPEECH 2009 Emotion Challenge", Interspeech 2009, 312-315, Brighton, UK, 2009.
6. Schuller, B., Steidl, S., Batliner, A., Burkhardt, F., Devillers, L., Müller, C. and Narayanan, S., "The INTERSPEECH 2010 Paralinguistic Challenge", Interspeech 2010, 2794-2797, Makuhari, Japan, 2010.
7. Eyben, F., Wöllmer, M. and Schuller, B., "openSMILE - The Munich Versatile and Fast Open-Source Audio Feature Extractor", in Proc. ACM Multimedia (MM), 1459-1462, Florence, Italy, 2010.
8. http://ovh.dl.sourceforge.net/project/opensmile/openSMILE-boo k-1.0.0.pdf
9. Witten, I. and Frank, E., "Data Mining: Practical Machine Learning Tools and Techniques", Morgan Kaufmann Publishing, San Francisco, USA, 2005.
10. Johnson, K., Pisoni, D. and Bernacki, R., "Do voice recordings reveal whether a person is intoxicated?: A case study", Phonetica, 47: 215-237, 1990.
11. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P. and Witten, I., "The WEKA Data Mining Software: An Update", SIGKDD Explorations, vol. 11, 2009.
12. Gütlein, M., Frank, E., Hall, M. and Karwath, A., "Large scale attribute selection using wrappers", IEEE Symposium on Computational Intelligence and Data Mining, 332-339, 2009.
13. Schiel, F., Heinrich, C. and Barfüber, S., "Alcohol Language Corpus", Language Resources and Evaluation, 2011.
14. SAMPA http://www.phon.ucl.ac.uk/home/sampa/
15. Tulyakov, S., Jaeger, S., Govindaraju, V. and Doermann, D., "Review of classifier combination methods", in Machine Learning in Document Analysis and Recognition, 361-386, 2008.
16. Montacié, C., Deléglise, P., Bimbot, F., and Caraty, M.-J., "Cinematic techniques for speech processing: temporal decomposition and multivariate linear prediction", ICASSP, vol. 1, 153-156, San Francisco, USA, 1992.