Unknown

Dataset Information

Does that sound right? A novel method of evaluating models of reading aloud : Rating nonword pronunciations.


ABSTRACT: Nonword pronunciation is a critical challenge for models of reading aloud but little attention has been given to identifying the best method for assessing model predictions. The most typical approach involves comparing the model's pronunciations of nonwords to pronunciations of the same nonwords by human participants and deeming the model's output correct if it matches with any transcription of the human pronunciations. The present paper introduces a new ratings-based method, in which participants are shown printed nonwords and asked to rate the plausibility of the provided pronunciations, generated here by a speech synthesiser. We demonstrate this method with reference to a previously published database of 915 disyllabic nonwords (Mousikou et al., 2017). We evaluated two well-known psycho

SUBMITTER: Gubian M 

PROVIDER: S-EPMC10126079 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature