Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning
Novel approaches to text-to-speech systems for under-resourced languages.
Jan 1, 2022
A systematic review and analysis of multilingual data strategies in text-to-speech for low-resource languages
This paper provides a systematic review of multilingual data strategies for text-to-speech in low-resource languages, introducing a novel Multilingual Model Effect (MLME) measure.
Aug 30, 2021