40 citations · 60 across the 10 of their papers we have counts for
5 papers · 1 filter
Joint Pre-Training with Speech and Bilingual Text for Direct Speech to Speech Translation
Kun Wei, Long Zhou, Ziqiang Zhang +5
Direct speech-to-speech translation (S2ST) is an attractive research topic with many advantages compared to cascaded S2ST. However, direct S2ST suffers from the data scarcity probl…
Leveraging Acoustic Contextual Representation by Audio-textual Cross-modal Learning for Conversational ASR
Kun Wei, Yike Zhang, Sining Sun +2
Leveraging context information is an intuitive idea to improve performance on conversational automatic speech recognition(ASR). Previous works usually adopt recognized hypotheses o…
Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism
Kun Wei, Pengcheng Guo, Ning Jiang
Transformer-based models have demonstrated their effectiveness in automatic speech recognition (ASR) tasks and even shown superior performance over the conventional hybrid framewor…
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases
Jintai Chen, Kuanlun Liao, Kun Wei +3
Electrocardiogram (ECG) is a widely used non-invasive diagnostic tool for heart diseases. Many studies have devised ECG analysis models (e.g., classifiers) to assist diagnosis. As…
Conversational Speech Recognition By Learning Conversation-level Characteristics
Kun Wei, Yike Zhang, Sining Sun +2
Conversational automatic speech recognition (ASR) is a task to recognize conversational speech including multiple speakers. Unlike sentence-level ASR, conversational ASR can natura…