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JSS-2012

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September 17, 2012 Ralf Schlueter Matching Targets for Automatic Speech Recognition Automatic speech recognition usually targets optimum recognition performance on word level. This requires that the decision rule and the training approach should support this target, and be consistent. Nevertheless, in practice these requirements are not met completely, since, upon others, - the standard decision rule minimizes sentence/segment error, instead of word error, - the training criterion and the decision rule often are inconsistent, - the recognition vocabulary is limited and therefore incomplete. In this presentation, we will investigate, why the standard decision rule, in spite of its sentence/segment-based target, often implicitly also minimizes word error rate. We will also consider, how the choice of training criterion can support the use of the standard decision rule while retaining the target of minimum word error rate. Finally, we will discuss, how the out-of-vocabulary problem can be solved without blowing up the vocabulary, by incorporating character recognition into a standard word-based recognizer. 
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