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20202026
most citedWNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition

9 citations · 24 across the 23 of their papers we have counts for

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7 papers · 1 filter

cs.SD2024

Vec-Tok-VC+: Residual-enhanced Robust Zero-shot Voice Conversion with Progressive Constraints in a Dual-mode Training Strategy

Linhan Ma, Xinfa Zhu, Yuanjun Lv +5

Zero-shot voice conversion (VC) aims to transform source speech into arbitrary unseen target voice while keeping the linguistic content unchanged. Recent VC methods have made signi…

cs.SD2023

U-Style: Cascading U-nets with Multi-level Speaker and Style Modeling for Zero-Shot Voice Cloning

Tao Li, Zhichao Wang, Xinfa Zhu +4

Zero-shot speaker cloning aims to synthesize speech for any target speaker unseen during TTS system building, given only a single speech reference of the speaker at hand. Although…

cs.SD2022★ 1 cited

AccentSpeech: Learning Accent from Crowd-sourced Data for Target Speaker TTS with Accents

Yongmao Zhang, Zhichao Wang, Peiji Yang +3

Learning accent from crowd-sourced data is a feasible way to achieve a target speaker TTS system that can synthesize accent speech. To this end, there are two challenging problems…

cs.SD2022

Cross-speaker Emotion Transfer Based On Prosody Compensation for End-to-End Speech Synthesis

Tao Li, Xinsheng Wang, Qicong Xie +3

Cross-speaker emotion transfer speech synthesis aims to synthesize emotional speech for a target speaker by transferring the emotion from reference speech recorded by another (sour…

cs.SD2021★ 3 cited

Cross-speaker emotion disentangling and transfer for end-to-end speech synthesis

Tao Li, Xinsheng Wang, Qicong Xie +2

The cross-speaker emotion transfer task in text-to-speech (TTS) synthesis particularly aims to synthesize speech for a target speaker with the emotion transferred from reference sp…

cs.SD2021★ 9 cited

WNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition

Zhichao Wang, Wenwen Yang, Pan Zhou +1

Recently, attention-based encoder-decoder (AED) end-to-end (E2E) models have drawn more and more attention in the field of automatic speech recognition (ASR). AED models, however,…

cs.SD2020

Accent and Speaker Disentanglement in Many-to-many Voice Conversion

Zhichao Wang, Wenshuo Ge, Xiong Wang +6

This paper proposes an interesting voice and accent joint conversion approach, which can convert an arbitrary source speaker's voice to a target speaker with non-native accent. Thi…