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cs.CL2019★ 1 cited
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning
Alexander H. Liu, Tao Tu, Hung-yi Lee +1
In this paper we propose a Sequential Representation Quantization AutoEncoder (SeqRQ-AE) to learn from primarily unpaired audio data and produce sequences of representations very c…
cs.CL2019★ 2 cited
End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning
Tao Tu, Yuan-Jui Chen, Cheng-chieh Yeh +1
End-to-end text-to-speech (TTS) has shown great success on large quantities of paired text plus speech data. However, laborious data collection remains difficult for at least 95% o…