most citedNWPU-ASLP System for the VoicePrivacy 2022 Challenge

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2022

UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis

Yi Lei, Shan Yang, Xinsheng Wang +4

Text-to-speech (TTS) and singing voice synthesis (SVS) aim at generating high-quality speaking and singing voice according to textual input and music scores, respectively. Unifying…

eess.AS20221 cited

Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features

Ziqian Ning, Qicong Xie, Pengcheng Zhu +5

Voice conversion for highly expressive speech is challenging. Current approaches struggle with the balancing between speaker similarity, intelligibility and expressiveness. To addr…

eess.AS2022

Distinguishable Speaker Anonymization based on Formant and Fundamental Frequency Scaling

Jixun Yao, Qing Wang, Yi Lei +4

Speech data on the Internet are proliferating exponentially because of the emergence of social media, and the sharing of such personal data raises obvious security and privacy conc…

eess.AS2022

Preserving background sound in noise-robust voice conversion via multi-task learning

Jixun Yao, Yi Lei, Qing Wang +6

Background sound is an informative form of art that is helpful in providing a more immersive experience in real-application voice conversion (VC) scenarios. However, prior research…

eess.AS20225 cited

NWPU-ASLP System for the VoicePrivacy 2022 Challenge

Jixun Yao, Qing Wang, Li Zhang +3

This paper presents the NWPU-ASLP speaker anonymization system for VoicePrivacy 2022 Challenge. Our submission does not involve additional Automatic Speaker Verification (ASV) mode…