The Surrey Audio-Visual Expressed Emotion (SAVEE) database [39 ] has been recorded as a prerequisite for creating an automatic emotion identification system. Figure 2c demonstrates the distribution of emotions in the SAVEE dataset. The collection contains recordings of four male actors expressing seven distinct emotions: sadness, neutral, frustration, happiness, disgust, and anger. The dataset provided 480 British English utterances in total. The sentences were selected from the standard TIMIT corpus and balanced phonetically for each emotion. The data were recorded, analysed, and labelled using high-quality audio-visual equipment at a lab for visual media.
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