Reading Proficiency Assessment Using Finite-State Transducers
Year: 2024

This paper describes a model designed to detect miscues of children's oral reading. The model is evaluated on a corpus of primary school children with and without reading difficulties in Dutch. This set contains real words and pseudo words reading tests. The automatic speech recognition task is achieved by training an End-to-End (E2E) model with phonemic targets. The encoder employs the Conformer architecture, and the decoder follows the Transformer decoder scheme. The automatic assessment relie