2 citations · 3 across the 6 of their papers we have counts for
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VITS-based Singing Voice Conversion System with DSPGAN post-processing for SVCC2023
Yiquan Zhou, Meng Chen, Yi Lei +2
This paper presents the T02 team's system for the Singing Voice Conversion Challenge 2023 (SVCC2023). Our system entails a VITS-based SVC model, incorporating three modules: a feat…
PromptSpeaker: Speaker Generation Based on Text Descriptions
Yongmao Zhang, Guanghou Liu, Yi Lei +4
Recently, text-guided content generation has received extensive attention. In this work, we explore the possibility of text description-based speaker generation, i.e., using text p…
Zero-Shot Emotion Transfer For Cross-Lingual Speech Synthesis
Yuke Li, Xinfa Zhu, Yi Lei +4
Zero-shot emotion transfer in cross-lingual speech synthesis aims to transfer emotion from an arbitrary speech reference in the source language to the synthetic speech in the targe…
PromptStyle: Controllable Style Transfer for Text-to-Speech with Natural Language Descriptions
Guanghou Liu, Yongmao Zhang, Yi Lei +4
Style transfer TTS has shown impressive performance in recent years. However, style control is often restricted to systems built on expressive speech recordings with discrete style…
Glow-WaveGAN 2: High-quality Zero-shot Text-to-speech Synthesis and Any-to-any Voice Conversion
Yi Lei, Shan Yang, Jian Cong +2
The zero-shot scenario for speech generation aims at synthesizing a novel unseen voice with only one utterance of the target speaker. Although the challenges of adapting new voices…