Emotion Recognition Using Short Time Speech Analysis - Emotional Engineering - page 96

Fig. 5 Fixed length segment positions using proposed segmentation approaches (20-segment
selecting situation shown; positions represented with gray lines)
3.3 Decision Model
The label of an utterance is decided on the basis of the labels of its segments
predicted from a classi ! er. We simply use the majority vote, which determines the
label of the utterance from the label in the majority, in order to pay more attention
to examine the effectiveness of the proposed segment-level approaches for speech
emotion recognition. The decision model is shown in Fig. 6 . Our decision model is
based on a classi ! er called the “ probabilistic neural network ” (PNN) [ 19 ] . PNN
operations are designed into a multilayered feed-forward network with four layers.
Fig. 6 Decision model of purely segment-level approach for speech emotion recognition