6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania, 2019
Emotion recognition from speech signal has become more and more important in advanced human-machi... more Emotion recognition from speech signal has become more and more important in advanced human-machine applications. The detailed description of emotions and their detection play an important role in the psychiatric studies but also in other fields of medicine such as anamnesis, clinical studies or lie detection. In this paper some experiments using multilingual emotional databases are presented. For the features extracted from the speech material, the LPC (Linear predictive coding), LPCC (Linear Predictive Cepstral Coefficients) and MFCC (Mel Frequency Cepstral Coefficients) coefficients are employed. The Weka tool was used for the classification task, selecting the k-NN (k-nearest neighbors) and SVM (Support Vector Machine) classifiers. The results for the selected features vectors show that the emotion recognition rate is satisfactory when multilingual speech material is used for training and testing. When the training is made using emotional materials for a language and testing wit...
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