T.P. (Phat) Do, MA

Promovendus

Campus Fryslân

Telefoon:

E-mail:

t.p.do rug.nl

ORCID Research Portal

Research interests

Expertise:

Language Technology (Speech Synthesis)
Phonetics and Phonology

Publicaties

Meta Learning Text-to-Speech Synthesis in over 7000 Languages

Lux, F., Meyer, S., Behringer, L., Zalkow, F., Do, P., Coler, M., Habets, E. A. P. & Vu, N. T., 2024, Proceedings of Interspeech 2024. ISCA, blz. 4958-4962 5 blz.

Onderzoeksoutput › › peer review

Meta Learning Text-to-Speech Synthesis in over 7000 Languages

Lux, F., Meyer, S., Behringer, L., Zalkow, F., Do, P., Coler, M., Habets, E. A. P. & Vu, N. T., 10-jun.-2024, (Submitted) arXiv, 5 blz.

Onderzoeksoutput: Voordruk ›

Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages

Do, P., Coler, M., Dĳkstra, J. & Klabbers, E., 20-aug.-2023, Proceedings of Interspeech 2023. ISCA, blz. 5466-5470 5 blz.

Onderzoeksoutput › › peer review

Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection

Do, P., Coler, M., Dijkstra, J. & Klabbers, E., 26-aug.-2023, 12th ISCA Speech Synthesis Workshop (SSW2023). ISCA, blz. 21-26 6 blz.

Onderzoeksoutput › › peer review

Alle (7) publicaties

Bekijk volledig onderzoeksprofiel

T.P. (Phat) Do, MA

Research interests

Expertise:

Publicaties

Meta Learning Text-to-Speech Synthesis in over 7000 Languages

Meta Learning Text-to-Speech Synthesis in over 7000 Languages

Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages

Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection

The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech

Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning

A Systematic Review and Analysis of Multilingual Data Strategies in Text-to-Speech for Low-Resource Languages