Before revision:  Phoneme inputs are usually preferred over graphemes in order to limit the amount of pronunciation errors. In this work we show that , in the case of a well-curated French dataset, graphemes can be used as input without increasing the amount of pronunciation errors.
After revision:  Indeed, they can be trained using either graphemes or phonemes as input directly. However , in the case of a well-curated French dataset, graphemes can be used as input without increasing the amount of pronunciation errors.