7 citations · 19 across the 18 of their papers we have counts for
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cs.CL2022
Combining Contrastive and Non-Contrastive Losses for Fine-Tuning Pretrained Models in Speech Analysis
Florian Lux, Ching-Yi Chen, Ngoc Thang Vu
Embedding paralinguistic properties is a challenging task as there are only a few hours of training data available for domains such as emotional speech. One solution to this proble…
cs.CL2022★ 2 cited
Low-Resource Multilingual and Zero-Shot Multispeaker TTS
Florian Lux, Julia Koch, Ngoc Thang Vu
While neural methods for text-to-speech (TTS) have shown great advances in modeling multiple speakers, even in zero-shot settings, the amount of data needed for those approaches is…
cs.CL2022
Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features
Florian Lux, Ngoc Thang Vu
While neural text-to-speech systems perform remarkably well in high-resource scenarios, they cannot be applied to the majority of the over 6,000 spoken languages in the world due t…