Automatic emotion recognition using prosodic parameters

  title={Automatic emotion recognition using prosodic parameters},
  author={Iker Luengo and Eva Navas and Inma Hern{\'a}ez and Jon S{\'a}nchez},
This paper presents the experiments made to automatically identify emotion in an emotional speech database for Basque. Three different classifiers have been built: one using spectral features and GMM, other with prosodic features and SVM and the last one with prosodic features and GMM. 86 prosodic features were calculated and then an algorithm to select the most relevant ones was applied. The first classifier gives the best result with a 98.4% accuracy when using 512 mixtures, but the… CONTINUE READING
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