13 citations · 18 across the 6 of their papers we have counts for
6 papers
RefXVC: Cross-Lingual Voice Conversion with Enhanced Reference Leveraging
Mingyang Zhang, Yi Zhou, Yi Ren +3
This paper proposes RefXVC, a method for cross-lingual voice conversion (XVC) that leverages reference information to improve conversion performance. Previous XVC works generally t…
Multi-Scale Accent Modeling and Disentangling for Multi-Speaker Multi-Accent Text-to-Speech Synthesis
Xuehao Zhou, Mingyang Zhang, Yi Zhou +2
Generating speech across different accents while preserving speaker identity is crucial for various real-world applications. However, accurately and independently modeling both spe…
Accented Text-to-Speech Synthesis with Limited Data
Xuehao Zhou, Mingyang Zhang, Yi Zhou +2
This paper presents an accented text-to-speech (TTS) synthesis framework with limited training data. We study two aspects concerning accent rendering: phonetic (phoneme difference)…
TTS-Guided Training for Accent Conversion Without Parallel Data
Yi Zhou, Zhizheng Wu, Mingyang Zhang +2
Accent Conversion (AC) seeks to change the accent of speech from one (source) to another (target) while preserving the speech content and speaker identity. However, many AC approac…
Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data
Mingyang Zhang, Yi Zhou, Li Zhao +1
This paper presents a novel framework to build a voice conversion (VC) system by learning from a text-to-speech (TTS) synthesis system, that is called TTS-VC transfer learning. We…
A Modularized Neural Network with Language-Specific Output Layers for Cross-lingual Voice Conversion
Yi Zhou, Xiaohai Tian, Emre Yılmaz +2
This paper presents a cross-lingual voice conversion framework that adopts a modularized neural network. The modularized neural network has a common input structure that is shared…