Dysarthric Speech Recognition Based on Error-Correction in a Weighted Finite State Transducer Framework

Abstract

In this paper, a dysarthric speech recognition error-correction method in a weighted finite state transducer (WFST) framework is proposed to improve the performance of dysarthric automatic speech recognition (ASR). To this end, pronunciation variation models are constructed from a context-dependent confusion matrix based on a weighted Kullback-Leibler (KL… (More)

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