MSM-VC: High-Fidelity Source Style Transfer for Non-Parallel Voice Conversion by Multi-Scale Style Modeling
Author:
Affiliation:
1. ASLP Lab, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
2. School of Software Engineering, Xi'an Jiaotong University, Xi'an, China
3. ByteDance SAMI Group, Shanghai, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9970249/10243636.pdf?arnumber=10243636
Reference71 articles.
1. Transferring Source Style in Non-Parallel Voice Conversion
2. Conformer: Convolution-augmented Transformer for Speech Recognition
3. Voice Conversion by Cascading Automatic Speech Recognition and Text-to-Speech Synthesis with Prosody Transfer
4. Cross-Speaker Emotion Transfer Through Information Perturbation in Emotional Speech Synthesis
5. On Prosody Modeling for ASR+TTS Based Voice Conversion
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1. CLESSR-VC: Contrastive learning enhanced self-supervised representations for one-shot voice conversion;Speech Communication;2024-11
2. Multi-Level Temporal-Channel Speaker Retrieval for Zero-Shot Voice Conversion;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
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