activity
20192025
most citedReplay and Synthetic Speech Detection with Res2net Architecture

18 citations · 84 across the 27 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

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…

cs.SD2022

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…

eess.AS2022

End-to-End Voice Conversion with Information Perturbation

Qicong Xie, Shan Yang, Yi Lei +2

The ideal goal of voice conversion is to convert the source speaker's speech to sound naturally like the target speaker while maintaining the linguistic content and the prosody of…

cs.SD2022

Content-Dependent Fine-Grained Speaker Embedding for Zero-Shot Speaker Adaptation in Text-to-Speech Synthesis

Yixuan Zhou, Changhe Song, Xiang Li +5

Zero-shot speaker adaptation aims to clone an unseen speaker's voice without any adaptation time and parameters. Previous researches usually use a speaker encoder to extract a glob…

eess.AS2022

VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion

Disong Wang, Shan Yang, Dan Su +3

Though significant progress has been made for speaker-dependent Video-to-Speech (VTS) synthesis, little attention is devoted to multi-speaker VTS that can map silent video to speec…

eess.AS2022

The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge

Naijun Zheng, Na Li, Xixin Wu +6

This paper describes our speaker diarization system submitted to the Multi-channel Multi-party Meeting Transcription (M2MeT) challenge, where Mandarin meeting data were recorded in…