Classification of Emotional Speech Based on an Automatically Elaborated Hierarchical Classifier

<table>Classification rate with HCS on Berlin dataset, The indexes on the <svg height="10.325" id="M195" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 13.4125 10.325" width="13.4125" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,10.325)">
<g transform="translate(72,-63.74)">
<text transform="matrix(1,0,0,-1,-71.95,63.79)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝑋</tspan>
</text>
</g>
</g>
</svg> axis stand for the operators: (1) Lukasiewicz, (2) Hamacher, (3) Yager, (4) Weber-Sugemo, (5) Schweizer and Sklar, (6) Frank, (7) Average, (8) Geometric Average. “All samples (1)” refers to the classification on the mixed genders samples with gender classification, and “All samples (2)” refers to the classification on the mixed genders samples without gender classification.</table>

International Scholarly Research Notices

fig10

Figure 10

Figure 10: Classification of Emotional Speech Based on an Automatically Elaborated Hierarchical Classifier 