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20222026
most citedVQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature

43 citations · 87 across the 30 of their papers we have counts for

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3 papers · 1 filter

eess.AS2022

EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance

Yiwei Guo, Chenpeng Du, Xie Chen +1

Although current neural text-to-speech (TTS) models are able to generate high-quality speech, intensity controllable emotional TTS is still a challenging task. Most existing method…

eess.AS2022★ 43 cited

VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature

Chenpeng Du, Yiwei Guo, Xie Chen +1

The mainstream neural text-to-speech(TTS) pipeline is a cascade system, including an acoustic model(AM) that predicts acoustic feature from the input transcript and a vocoder that…

eess.AS2022

Unsupervised word-level prosody tagging for controllable speech synthesis

Yiwei Guo, Chenpeng Du, Kai Yu

Although word-level prosody modeling in neural text-to-speech (TTS) has been investigated in recent research for diverse speech synthesis, it is still challenging to control speech…