40 citations · 60 across the 10 of their papers we have counts for
10 papers
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…
The NPU-MSXF Speech-to-Speech Translation System for IWSLT 2023 Speech-to-Speech Translation Task
Kun Song, Yi lei, Peikun Chen +6
This paper describes the NPU-MSXF system for the IWSLT 2023 speech-to-speech translation (S2ST) task which aims to translate from English speech of multi-source to Chinese speech.…
StyleS2ST: Zero-shot Style Transfer for Direct Speech-to-speech Translation
Kun Song, Yi Ren, Yi Lei +5
Direct speech-to-speech translation (S2ST) has gradually become popular as it has many advantages compared with cascade S2ST. However, current research mainly focuses on the accura…
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…
Context-aware RNNLM Rescoring for Conversational Speech Recognition
Kun Wei, Pengcheng Guo, Hang Lv +2
Conversational speech recognition is regarded as a challenging task due to its free-style speaking and long-term contextual dependencies. Prior work has explored the modeling of lo…
Recent Developments on ESPnet Toolkit Boosted by Conformer
Pengcheng Guo, Florian Boyer, Xuankai Chang +12
In this study, we present recent developments on ESPnet: End-to-End Speech Processing toolkit, which mainly involves a recently proposed architecture called Conformer, Convolution-…