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

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cs.CL2024

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

Florian Lux, Sarina Meyer, Lyonel Behringer +5

In this work, we take on the challenging task of building a single text-to-speech synthesis system that is capable of generating speech in over 7000 languages, many of which lack s…

cs.CL2023

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

Phat Do, Matt Coler, Jelske Dijkstra +1

We compare phone labels and articulatory features as input for cross-lingual transfer learning in text-to-speech (TTS) for low-resource languages (LRLs). Experiments with FastSpeec…