Semi-supervised Learning for Multi-speaker Text-to-speech Synthesis Using Discrete Speech Representation

no code implementations • 16 May 2020 • Tao Tu, Yuan-Jui Chen, Alexander H. Liu, Hung-Yi Lee

The experiment results demonstrate that with only an hour of paired speech data, no matter the paired data is from multiple speakers or a single speaker, the proposed model can generate intelligible speech in different voices.

Speech Synthesis Text-To-Speech Synthesis

Meta Learning for End-to-End Low-Resource Speech Recognition

no code implementations • 26 Oct 2019 • Jui-Yang Hsu, Yuan-Jui Chen, Hung-Yi Lee

In this paper, we proposed to apply meta learning approach for low-resource automatic speech recognition (ASR).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning

no code implementations • 13 Apr 2019 • Tao Tu, Yuan-Jui Chen, Cheng-chieh Yeh, Hung-Yi Lee

In this paper, we aim to build TTS systems for such low-resource (target) languages where only very limited paired data are available.

Cross-Lingual Transfer Transfer Learning