7 citations · 7 across the 4 of their papers we have counts for
4 papers
Whisper-SV: Adapting Whisper for Low-data-resource Speaker Verification
Li Zhang, Ning Jiang, Qing Wang +3
Trained on 680,000 hours of massive speech data, Whisper is a multitasking, multilingual speech foundation model demonstrating superior performance in automatic speech recognition,…
SELM: Speech Enhancement Using Discrete Tokens and Language Models
Ziqian Wang, Xinfa Zhu, Zihan Zhang +4
Language models (LMs) have shown superior performances in various speech generation tasks recently, demonstrating their powerful ability for semantic context modeling. Given the in…
Boosting Multi-Speaker Expressive Speech Synthesis with Semi-supervised Contrastive Learning
Xinfa Zhu, Yuke Li, Yi Lei +3
This paper aims to build a multi-speaker expressive TTS system, synthesizing a target speaker's speech with multiple styles and emotions. To this end, we propose a novel contrastiv…
Conversational Speech Recognition by Learning Audio-textual Cross-modal Contextual Representation
Kun Wei, Bei Li, Hang Lv +3
Automatic Speech Recognition (ASR) in conversational settings presents unique challenges, including extracting relevant contextual information from previous conversational turns. D…