Being able to read fluently directly affects the individual's interaction with society. However, there are few tools that help in the process of developing fluency and in the diagnosis of problems in a playful way. Although applied to foreign language learning, automatic speech recognition (ASR) techniques are not widely used in the literature to support mother tongue development. In this sense, this work proposes a gamified computational approach to diagnose failures in literacy. The proof of concept shows that the tool developed is capable of automatically producing reports that are consistent with reality and useful for teachers and managers in decision-making.

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