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Apr 13, 2019 · In this paper, we aim to build TTS systems for such low-resource (target) languages where only very limited paired data are available. We show ...
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In [9] , authors introduce cross-lingual transfer learning for low-resource languages to build end-to-end TTS. To tackle input space mismatch across languages, ...
Dec 4, 2021 · In the cross-lingual transfer learning method, we used two high-resource language datasets, English (24 h) and Japanese (10 h). We also used 30 ...
This paper proposes a method to learn a mapping between source and target linguistic symbols, and shows such TTS can be effectively constructed by ...
Jan 6, 2024 · The paper presents a novel three-step transfer learning framework for enhancing cross-lingual transfer from high- to low-resource languages in ...
We show such TTS can be effectively constructed by transferring knowledge from a high-resource (source) language. Since the model trained on source language ...
Audio samples from "End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning". Paper: arXiv. Authors: Yuan-Jui Chen*, Tao Tu ...
Transfer learning from high-resource languages is known to be an efficient way to improve end-to-end automatic speech recognition (ASR) for low-resource...
Apr 13, 2019 · We show such TTS can be effectively constructed by transferring knowledge from a high-resource (source) language. Since the model trained on ...
End-to-end speech translation (ST) is the task of directly translating source language speech to target language text. It has the potential to generate ...