Drink and speak: On the automatic classification of alcohol intoxication by acoustic, prosodic and text-based features

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

Volumn , Issue , 2011, Pages 3213-3216

  Bocklet, Tobias ^a   Riedhammer, Korbinian ^a   Nöth, Elmar ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Alcohol intoxication; GMM; System fusion

Indexed keywords

ALCOHOL INTOXICATION; AUTOMATIC CLASSIFICATION; AUTOMATIC DETECTION; AUTOMATIC SPEECH PROCESSING; BASELINE SYSTEMS; BLOOD LEVELS; BLOOD-ALCOHOL LEVELS; CASE CLASSIFICATION; CLASSIFICATION TASKS; FEATURE SETS; FEATURE TYPES; FEATURE VECTORS; GAUSSIAN CLASSIFIER; GMM; LOGISTIC REGRESSIONS; MEAN VECTOR; SPECTRAL OBSERVATIONS; TEST SETS; TEXT-BASED FEATURES;

BLOOD; LOGISTICS;

TRANSCRIPTION;

EID: 84865702888     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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