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Ke Tan
Ke Tan
Research Scientist, Facebook Reality Labs Research
Verified email at osu.edu - Homepage
Title
Cited by
Cited by
Year
A convolutional recurrent neural network for real-time speech enhancement
K Tan, DL Wang
Proc. Interspeech, 3229--3233, 2018
2962018
Learning complex spectral mapping with gated convolutional recurrent networks for monaural speech enhancement
K Tan, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28 (1), 380--390, 2020
1602020
Gated residual networks with dilated convolutions for monaural speech enhancement
K Tan, J Chen, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (1), 189--198, 2019
1222019
Complex spectral mapping with a convolutional recurrent network for monaural speech enhancement
K Tan, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019
1032019
Deep learning based phase reconstruction for speaker separation: A trigonometric perspective
ZQ Wang, K Tan, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019
882019
Deep learning for joint acoustic echo and noise cancellation with nonlinear distortions
H Zhang, K Tan, DL Wang
Proc. Interspeech, 4255--4259, 2019
552019
Gated residual networks with dilated convolutions for supervised speech separation
K Tan, J Chen, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
472018
Real-time speech enhancement using an efficient convolutional recurrent network for dual-microphone mobile phones in close-talk scenarios
K Tan, X Zhang, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019
452019
Bridging the gap between monaural speech enhancement and recognition with distortion-independent acoustic modeling
P Wang, K Tan, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28 (1), 39--48, 2020
352020
Bridging the gap between monaural speech enhancement and recognition with distortion-independent acoustic modeling
P Wang, K Tan, DL Wang
Proc. Interspeech, 471--475, 2019
352019
Audio-visual speech separation and dereverberation with a two-stage multimodal network
K Tan, Y Xu, SX Zhang, M Yu, D Yu
IEEE Journal of Selected Topics in Signal Processing 14 (3), 542--553, 2020
342020
MICROST: A mixed approach for heart rate monitoring during intensive physical exercise using wrist-type PPG signals
S Zhu, K Tan, X Zhang, Z Liu, B Liu
37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015
302015
SAGRNN: Self-attentive gated RNN for binaural speaker separation with interaural cue preservation
K Tan, B Xu, A Kumar, E Nachmani, Y Adi
IEEE Signal Processing Letters 28, 26--30, 2021
292021
Towards model compression for deep learning based speech enhancement
K Tan, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1785--1794, 2021
272021
Neural spectrospatial filtering
K Tan, ZQ Wang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 605--621, 2022
152022
Deep learning based real-time speech enhancement for dual-microphone mobile phones
K Tan, X Zhang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1853--1863, 2021
152021
Compressing deep neural networks for efficient speech enhancement
K Tan, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
92021
An effectively causal deep learning algorithm to increase intelligibility in untrained noises for hearing-impaired listeners
EW Healy, K Tan, EM Johnson, DL Wang
The Journal of the Acoustical Society of America 149 (6), 3943--3953, 2021
82021
Improving robustness of deep learning based monaural speech enhancement against processing artifacts
K Tan, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
82020
Real-time speech enhancement for mobile communication based on dual-channel complex spectral mapping
K Tan, X Zhang, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
52021
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