Sentence examples for emotional classes from inspiring English sources

Figure 11 Block diagram of the approach to classify emotional classes using emotion primitives.

These five emotional classes are neutral, anger, happiness, sadness and boredom.

The resulting dataset has been utilized when constructing classifiers able to automatically distinguish between the emotional classes positive, fear, anger, and other.

Automatic classification tests in five emotional classes demonstrate that significantly higher than random level emotional content classification performance is achievable using both prosodic and vocal source features.

We used the WEKA [27] library to apply three commonly used algorithms to classify emotional classes: a support vector machine (SVM) based on the Pearson VII kernel function (PUK) kernel, a multilayer perceptron (MLP) with one hidden layer, and C4.5.

The perceptual vectors representing each utterance are exposed to the SVM/GMM classifier and each test utterance is classified on the assessment of the posterior probabilities from the emotional classes.

Swan can indulge himself in emotional class war rhetoric; the Abbott government will get on with repairing the budget.

stability test of the obtained GMM scores and finally determined emotional class for correctly set male or female genders.  .

Second, how should the emotional information be represented as labels for supervised DNN training, e.g., should emotional class and emotional strength be factorized into separate inputs or not?

For VAM class, q1 is specified as the reference set while it is switched to the emotional class neutral for EMO-DB corpus.

Iterative expectation maximization algorithm is used to estimate the parameters of the mixture of Gaussian density functions representing each emotional class.