Kehuang Li
According to our database1,
Kehuang Li
authored at least 24 papers
between 2013 and 2020.
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Bibliography
2020
2018
Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning.
J. Signal Process. Syst., 2018
IET Image Process., 2018
2017
A Reverberation-Time-Aware Approach to Speech Dereverberation Based on Deep Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2017
An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2017
A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation.
EURASIP J. Adv. Signal Process., 2017
Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge.
Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017
2016
Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications.
ACM Trans. Access. Comput., 2016
Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016
Learning auxiliary categorical information for speech synthesis based on deep and recurrent neural networks.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016
An Iterative Phase Recovery Framework with Phase Mask for Spectral Mapping with an Application to Speech Enhancement.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
A study on sampling of STFT modifications in time and frequency domains for DNN-based speech dereverberation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016
A study on target feature activation and normalization and their impacts on the performance of DNN based speech dereverberation systems.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016
2015
DNN-based speech bandwidth expansion and its application to adding high-frequency missing features for automatic speech recognition of narrowband speech.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
A maximal figure-of-merit learning approach to maximizing mean average precision with deep neural network based classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013
Online whole-word and stroke-based modeling for hand-written letter recognition in in-car environments.
Proceedings of the IEEE International Conference on Acoustics, 2013