Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages
Research on efficient strategies for automatic Mean Opinion Score prediction in text-to-speech for low-resource languages, with a case study on West Frisian.
May 30, 2023
Frisian Text-to-Speech Using Cross-Lingual Transfer Learning: An Experiment with 5 Source Languages
An investigation into cross-lingual transfer learning for Frisian text-to-speech using five different source languages.
Sep 14, 2022
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.
Jun 1, 2022
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