14 citations · 22 across the 5 of their papers we have counts for
5 papers
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…