2021
DOI: 10.48550/arxiv.2112.00635
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Predicting lexical skills from oral reading with acoustic measures

Abstract: Literacy assessment is an important activity for education administrators across the globe. Typically achieved in a school setting by testing a child's oral reading, it is intensive in human resources. While automatic speech recognition (ASR) is a potential solution to the problem, it tends to be computationally expensive for hand-held devices apart from needing languageand accent-specific speech for training. In this work, we propose a system to predict the word-decoding skills of a student based on simple ac… Show more

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