Area of research
Artificial Intelligence · Signal Processing
Research interest
Research interests include Computer science, Speech recognition, Artificial neural network, Artificial intelligence, Hidden Markov model, and Word error rate.
RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging
Dialogue-Based Relation Extraction
DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension
Evidence Sentence Extraction for Machine Reading Comprehension
Improving Subject-Area Question Answering with External Knowledge
Generating Diverse Story Continuations with Controllable Semantics
Deep beamforming networks for multi-channel speech recognition
Speaker-aware training of LSTM-RNNS for acoustic modelling
Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning
Convolutional Neural Networks for Speech Recognition
Exploring convolutional neural network structures and optimization techniques for speech recognition
A deep convolutional neural network using heterogeneous pooling for trading acoustic invariance with phonetic confusion
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups