Prati
Ke Tan
Ke Tan
Research Scientist, Facebook Reality Labs Research
Potvrđena adresa e-pošte na osu.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
A convolutional recurrent neural network for real-time speech enhancement
K Tan, DL Wang
Proc. Interspeech, 3229--3233, 2018
5132018
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
3292020
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
1952019
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
1852019
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
1072019
Deep learning for joint acoustic echo and noise cancellation with nonlinear distortions
H Zhang, K Tan, DL Wang
Proc. Interspeech, 4255--4259, 2019
862019
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
722021
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
682019
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
672020
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
672019
Neural spectrospatial filtering
K Tan, ZQ Wang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 605--621, 2022
632022
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
632020
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
632018
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
432021
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
392021
TorchAudio-Squim: Reference-less speech quality and intelligibility measures in TorchAudio
A Kumar, K Tan, Z Ni, P Manocha, X Zhang, E Henderson, B Xu
IEEE International Conference on Acoustics, Speech and Signal Processing, 2023
372023
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
352015
Multi-channel talker-independent speaker separation through location-based training
H Taherian, K Tan, DL Wang
IEEE/ACM Transactions on Audio, Speech and Language Processing 30, 2791--2800, 2022
272022
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
202021
Compressing deep neural networks for efficient speech enhancement
K Tan, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
162021
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