We present an automatic reading evaluator that listens to novice young readers and offers feedback based on the reading accuracy. In order to not discourage the reader, the model should not misrecognize correctly read tokens (false rejects), which may come at the expense of tolerating some reading mistakes (false accepts). To minimize the former, we explore two approaches to provide reference text – the