Automatic Assessment of Non-Native Prosody – Annotation, Modelling and Evaluation


The first part deals with general considerations on the evaluation of both human raters and automatic systems, employed for pronunciation assessment: How can we come closer to an unbiased, realistic estimate of their reliability, given the fallibility of human annotators and the nature of machinelearning algorithms (and researchers) that adapt, and… (More)


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