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@@ -44,7 +44,7 @@ variants for multilayer Perceptron training were evaluated using $\num{166898}$
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recordings which were collected with two crowdsourcing projects. The evaluation
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results of these 21~experiments were used to create an optimized recognizer
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which has a TOP-1 error of less than $\SI{17.5}{\percent}$ and a TOP-3 error of
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-$\SI{4.0}{\percent}$. This is an improvement of $\SI{18.5}{\percent}$ for the
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+$\SI{4.0}{\percent}$. This is a relative improvement of $\SI{18.5}{\percent}$ for the
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TOP-1 error and $\SI{29.7}{\percent}$ for the TOP-3 error compared to the
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baseline system.
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\end{abstract}
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