5 citations · 6 across the 18 of their papers we have counts for
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cs.SD2023
HiGNN-TTS: Hierarchical Prosody Modeling with Graph Neural Networks for Expressive Long-form TTS
Dake Guo, Xinfa Zhu, Liumeng Xue +4
Recent advances in text-to-speech, particularly those based on Graph Neural Networks (GNNs), have significantly improved the expressiveness of short-form synthetic speech. However,…
eess.AS2023
VITS-Based Singing Voice Conversion Leveraging Whisper and multi-scale F0 Modeling
Ziqian Ning, Yuepeng Jiang, Zhichao Wang +2
This paper introduces the T23 team's system submitted to the Singing Voice Conversion Challenge 2023. Following the recognition-synthesis framework, our singing conversion model is…
eess.AS2023
DualVC 2: Dynamic Masked Convolution for Unified Streaming and Non-Streaming Voice Conversion
Ziqian Ning, Yuepeng Jiang, Pengcheng Zhu +4
Voice conversion is becoming increasingly popular, and a growing number of application scenarios require models with streaming inference capabilities. The recently proposed DualVC…