A deep neural network approach to speech bandwidth expansion K Li, CH Lee 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 171 | 2015 |
A Reverberation-Time-Aware Approach to Speech Dereverberation Based on Deep Neural Networks B Wu, K Li, M Yang, CH Lee IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 25 (1 …, 2017 | 108 | 2017 |
An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition B Wu, K Li, F Ge, Z Huang, M Yang, SM Siniscalchi, CH Lee IEEE Journal of Selected Topics in Signal Processing 11 (8), 1289-1300, 2017 | 89 | 2017 |
Sign transition modeling and a scalable solution to continuous sign language recognition for real-world applications K Li, Z Zhou, CH Lee ACM Transactions on Accessible Computing (TACCESS) 8 (2), 1-23, 2016 | 70 | 2016 |
DNN-Based Speech Bandwidth Expansion and Its Application to Adding High-Frequency Missing Features for Automatic Speech Recognition of Narrowband Speech K Li, Z Huang, Y Xu, CH Lee Sixteenth Annual Conference of the International Speech Communication …, 2015 | 69 | 2015 |
A maximal figure-of-merit learning approach to maximizing mean average precision with deep neural network based classifiers K Li, Z Huang, YC Cheng, CH Lee 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 66 | 2014 |
A blind segmentation approach to acoustic event detection based on i-vector. Z Huang, YC Cheng, K Li, V Hautamäki, CH Lee INTERSPEECH, 2282-2286, 2013 | 45 | 2013 |
Abnormal event detection in traffic video surveillance based on local features L Cui, K Li, J Chen, Z Li 2011 4th International Congress on Image and Signal Processing 1, 362-366, 2011 | 42 | 2011 |
Detecting Mispronunciations of L2 Learners and Providing Corrective Feedback Using Knowledge-Guided and Data-Driven Decision Trees. W Li, K Li, SM Siniscalchi, NF Chen, CH Lee Interspeech, 3127-3131, 2016 | 33 | 2016 |
Deep learning vector quantization for acoustic information retrieval Z Huang, C Weng, K Li, YC Cheng, CH Lee 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 22 | 2014 |
Image region annotation based on segmentation and semantic correlation analysis J Zhang, Y Mu, S Feng, K Li, Y Yuan, CH Lee IET Image Processing 12 (8), 1331-1337, 2018 | 18 | 2018 |
A study on target feature activation and normalization and their impacts on the performance of DNN based speech dereverberation systems B Wu, K Li, M Yang, CH Lee 2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016 | 18 | 2016 |
System and method for automated sign language recognition Z Zhou, T Menne, K Li, K Xu, Z Feng, C Lee US Patent 10,109,219, 2018 | 16 | 2018 |
System and method for automated sign language recognition Z Zhou, T Menne, K Li, K Xu, Z Feng, C Lee US Patent 10,109,219, 2018 | 16 | 2018 |
System and method for automated sign language recognition Z Zhou, T Menne, K Li, K Xu, Z Feng, C Lee US Patent 10,109,219, 2018 | 16 | 2018 |
A transfer learning and progressive stacking approach to reducing deep model sizes with an application to speech enhancement S Wang, K Li, Z Huang, SM Siniscalchi, CH Lee 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 15 | 2017 |
A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation B Wu, M Yang, K Li, Z Huang, SM Siniscalchi, T Wang, CH Lee EURASIP Journal on Advances in Signal Processing 2017 (1), 1-13, 2017 | 11 | 2017 |
Deep learning with maximal figure-of-merit cost to advance multi-label speech attribute detection I Kukanov, V Hautamäki, SM Siniscalchi, K Li 2016 IEEE Spoken Language Technology Workshop (SLT), 489-495, 2016 | 11 | 2016 |
An Iterative Phase Recovery Framework with Phase Mask for Spectral Mapping with an Application to Speech Enhancement. K Li, B Wu, CH Lee INTERSPEECH, 3773-3777, 2016 | 10 | 2016 |
A method for background modeling and moving object detection in video surveillance K Li, Y Yang 2011 4th International Congress on Image and Signal Processing 1, 381-385, 2011 | 10 | 2011 |