| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10368527 | Computer Speech & Language | 2014 | 18 Pages |
Abstract
⺠Phoneme level emotion classification is evaluated within cross corpora evaluations. ⺠Phonetic pattern dependent and independent emotion classifiers were tested within equal evaluation conditions and acoustic features. ⺠We showed how emotion models trained on spontaneous emotion annotated in VAD space could show quite good classification performance for acted emotion annotated with emotional categories. ⺠We showed importance of phonetic pattern analysis for creation of robust emotion classifiers for real life applications. ⺠Classification performance based on indicative vowels (7 phonemes out of 39 phonemes) analysis is close to classification performance of the original phoneme-level emotion classifier which employed a complete phoneme set.
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Physical Sciences and Engineering
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Authors
Bogdan Vlasenko, Dmytro Prylipko, Ronald Böck, Andreas Wendemuth,