32 citations · 65 across the 10 of their papers we have counts for
10 papers
SQ-Whisper: Speaker-Querying based Whisper Model for Target-Speaker ASR
Pengcheng Guo, Xuankai Chang, Hang Lv +2
Benefiting from massive and diverse data sources, speech foundation models exhibit strong generalization and knowledge transfer capabilities to a wide range of downstream tasks. Ho…
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…
Minimizing Sequential Confusion Error in Speech Command Recognition
Zhanheng Yang, Hang Lv, Xiong Wang +2
Speech command recognition (SCR) has been commonly used on resource constrained devices to achieve hands-free user experience. However, in real applications, confusion among comman…
WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit
Binbin Zhang, Di Wu, Zhendong Peng +7
Recently, we made available WeNet, a production-oriented end-to-end speech recognition toolkit, which introduces a unified two-pass (U2) framework and a built-in runtime to address…
WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition
Binbin Zhang, Hang Lv, Pengcheng Guo +9
In this paper, we present WenetSpeech, a multi-domain Mandarin corpus consisting of 10000+ hours high-quality labeled speech, 2400+ hours weakly labeled speech, and about 10000 hou…
An Asynchronous WFST-Based Decoder For Automatic Speech Recognition
Hang Lv, Zhehuai Chen, Hainan Xu +3
We introduce asynchronous dynamic decoder, which adopts an efficient A* algorithm to incorporate big language models in the one-pass decoding for large vocabulary continuous speech…
Wake Word Detection with Streaming Transformers
Yiming Wang, Hang Lv, Daniel Povey +2
Modern wake word detection systems usually rely on neural networks for acoustic modeling. Transformers has recently shown superior performance over LSTM and convolutional networks…
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…
Wake Word Detection with Alignment-Free Lattice-Free MMI
Yiming Wang, Hang Lv, Daniel Povey +2
Always-on spoken language interfaces, e.g. personal digital assistants, rely on a wake word to start processing spoken input. We present novel methods to train a hybrid DNN/HMM wak…
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit
Yiming Wang, Tongfei Chen, Hainan Xu +7
We present Espresso, an open-source, modular, extensible end-to-end neural automatic speech recognition (ASR) toolkit based on the deep learning library PyTorch and the popular neu…