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ORCIDKe Tan 0001
Person information
- affiliation: Ohio State University, Columbus, OH, USA
Other persons with the same name
- Ke Tan — disambiguation page
- Ke Tan 0002
![[0000-0001-7896-3702]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7896-3702")
— Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China - Ke Tan 0003 — University of Electronic Science and Technology of China, Chengdu, China
- Ke Tan 0004 — Southeast University, Nanjing, China
- Ke Tan 0005 — University of Electronic Science and Technology of China, Chengdu, China
- Ke Tan 0006 — South China University of Technology, Guangzhou, Hong Kong
- Ke Tan 0007 — Nanjing University of Science and Technology, Nanjing, China
- Ke Tan 0008 — The PLA General Hospital, Educational Technology Center, Beijing, China
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Journal Articles
- 2022
[j9]Ke Tan, Zhong-Qiu Wang, DeLiang Wang:
Neural Spectrospatial Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 30: 605-621 (2022)- [j8]Hassan Taherian, Ke Tan, DeLiang Wang:
Multi-Channel Talker-Independent Speaker Separation Through Location-Based Training. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2791-2800 (2022) - 2021
- [j7]Ke Tan, Buye Xu, Anurag Kumar, Eliya Nachmani, Yossi Adi:
SAGRNN: Self-Attentive Gated RNN For Binaural Speaker Separation With Interaural Cue Preservation. IEEE Signal Process. Lett. 28: 26-30 (2021) - [j6]Ke Tan, DeLiang Wang:
Towards Model Compression for Deep Learning Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1785-1794 (2021) - [j5]Ke Tan, Xueliang Zhang, DeLiang Wang:
Deep Learning Based Real-Time Speech Enhancement for Dual-Microphone Mobile Phones. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1853-1863 (2021) - 2020
- [j4]Ke Tan, Yong Xu, Shi-Xiong Zhang, Meng Yu, Dong Yu:
Audio-Visual Speech Separation and Dereverberation With a Two-Stage Multimodal Network. IEEE J. Sel. Top. Signal Process. 14(3): 542-553 (2020) - [j3]Peidong Wang, Ke Tan, DeLiang Wang:
Bridging the Gap Between Monaural Speech Enhancement and Recognition With Distortion-Independent Acoustic Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 28: 39-48 (2020) - [j2]Ke Tan, DeLiang Wang:
Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 28: 380-390 (2020) - 2019
- [j1]Ke Tan, Jitong Chen, DeLiang Wang:
Gated Residual Networks With Dilated Convolutions for Monaural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 189-198 (2019)
Conference and Workshop Papers
- 2024
- [c20]Ravi Shankar, Ke Tan, Buye Xu, Anurag Kumar:
A Closer Look at Wav2vec2 Embeddings for On-Device Single-Channel Speech Enhancement. ICASSP 2024: 751-755 - [c19]Vahid Ahmadi Kalkhorani, Anurag Kumar, Ke Tan, Buye Xu, DeLiang Wang:
Audiovisual Speaker Separation with Full- and Sub-Band Modeling in the Time-Frequency Domain. ICASSP 2024: 12001-12005 - 2023
- [c18]Kuan-Lin Chen, Daniel D. E. Wong, Ke Tan, Buye Xu, Anurag Kumar, Vamsi Krishna Ithapu:
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-Channel Speech Enhancement. ICASSP 2023: 1-5 - [c17]Anurag Kumar, Ke Tan, Zhaoheng Ni, Pranay Manocha, Xiaohui Zhang, Ethan Henderson, Buye Xu:
Torchaudio-Squim: Reference-Less Speech Quality and Intelligibility Measures in Torchaudio. ICASSP 2023: 1-5 - [c16]Ashutosh Pandey, Ke Tan, Buye Xu:
A Simple RNN Model for Lightweight, Low-compute and Low-latency Multichannel Speech Enhancement in the Time Domain. INTERSPEECH 2023: 2478-2482 - [c15]Vahid Ahmadi Kalkhorani, Anurag Kumar, Ke Tan, Buye Xu, DeLiang Wang:
Time-domain Transformer-based Audiovisual Speaker Separation. INTERSPEECH 2023: 3472-3476 - [c14]Haibin Wu, Ke Tan, Buye Xu, Anurag Kumar, Daniel Wong:
Rethinking Complex-Valued Deep Neural Networks for Monaural Speech Enhancement. INTERSPEECH 2023: 3889-3893 - 2022
- [c13]Hassan Taherian, Ke Tan, DeLiang Wang:
Location-Based Training for Multi-Channel Talker-Independent Speaker Separation. ICASSP 2022: 696-700 - 2021
- [c12]Ke Tan, Xueliang Zhang, DeLiang Wang:
Real-Time Speech Enhancement for Mobile Communication Based on Dual-Channel Complex Spectral Mapping. ICASSP 2021: 6134-6138 - [c11]Ke Tan, DeLiang Wang:
Compressing Deep Neural Networks for Efficient Speech Enhancement. ICASSP 2021: 8358-8362 - 2020
- [c10]Ke Tan, DeLiang Wang:
Improving Robustness of Deep Learning Based Monaural Speech Enhancement Against Processing Artifacts. ICASSP 2020: 6914-6918 - 2019
- [c9]Zhong-Qiu Wang, Ke Tan, DeLiang Wang:
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. ICASSP 2019: 71-75 - [c8]Ke Tan, Xueliang Zhang, DeLiang Wang:
Real-time Speech Enhancement Using an Efficient Convolutional Recurrent Network for Dual-microphone Mobile Phones in Close-talk Scenarios. ICASSP 2019: 5751-5755 - [c7]Ke Tan, DeLiang Wang:
Complex Spectral Mapping with a Convolutional Recurrent Network for Monaural Speech Enhancement. ICASSP 2019: 6865-6869 - [c6]Peidong Wang, Ke Tan, DeLiang Wang:
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling. INTERSPEECH 2019: 471-475 - [c5]Hao Zhang, Ke Tan, DeLiang Wang:
Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions. INTERSPEECH 2019: 4255-4259 - 2018
- [c4]Ke Tan, Jitong Chen, DeLiang Wang:
Gated Residual Networks with Dilated Convolutions for Supervised Speech Separation. ICASSP 2018: 21-25 - [c3]Ke Tan, DeLiang Wang:
A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement. INTERSPEECH 2018: 3229-3233 - [c2]Ke Tan, DeLiang Wang:
A Two-Stage Approach to Noisy Cochannel Speech Separation with Gated Residual Networks. INTERSPEECH 2018: 3484-3488 - 2015
- [c1]Shilin Zhu, Ke Tan, Xinyu Zhang, Zhiqiang Liu, Bin Liu:
MICROST: A mixed approach for heart rate monitoring during intensive physical exercise using wrist-type PPG Signals. EMBC 2015: 2347-2350
Informal and Other Publications
- 2024
- [i10]Ravi Shankar, Ke Tan, Buye Xu, Anurag Kumar:
A Closer Look at Wav2Vec2 Embeddings for On-Device Single-Channel Speech Enhancement. CoRR abs/2403.01369 (2024) - [i9]Vahid Ahmadi Kalkhorani, Cheng Yu, Anurag Kumar, Ke Tan, Buye Xu, DeLiang Wang:
AV-CrossNet: an Audiovisual Complex Spectral Mapping Network for Speech Separation By Leveraging Narrow- and Cross-Band Modeling. CoRR abs/2406.11619 (2024) - [i8]Zhongweiyang Xu, Ali Aroudi, Ke Tan, Ashutosh Pandey, Jung-Suk Lee, Buye Xu, Francesco Nesta:
FoVNet: Configurable Field-of-View Speech Enhancement with Low Computation and Distortion for Smart Glasses. CoRR abs/2408.06468 (2024) - 2023
- [i7]Haibin Wu, Ke Tan, Buye Xu, Anurag Kumar, Daniel Wong:
Rethinking complex-valued deep neural networks for monaural speech enhancement. CoRR abs/2301.04320 (2023) - 2022
- [i6]Kuan-Lin Chen, Daniel D. E. Wong, Ke Tan, Buye Xu, Anurag Kumar, Vamsi Krishna Ithapu:
Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement. CoRR abs/2211.08624 (2022) - 2021
- [i5]Hassan Taherian, Ke Tan, DeLiang Wang:
Location-based training for multi-channel talker-independent speaker separation. CoRR abs/2110.04289 (2021) - 2020
- [i4]Ke Tan, Buye Xu, Anurag Kumar, Eliya Nachmani, Yossi Adi:
SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation. CoRR abs/2009.01381 (2020) - 2019
- [i3]Peidong Wang, Ke Tan, DeLiang Wang:
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling. CoRR abs/1903.04567 (2019) - [i2]Ke Tan, Yong Xu, Shi-Xiong Zhang, Meng Yu, Dong Yu:
Audio-Visual Speech Separation and Dereverberation with a Two-Stage Multimodal Network. CoRR abs/1909.07352 (2019) - 2018
- [i1]Zhong-Qiu Wang, Ke Tan, DeLiang Wang:
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. CoRR abs/1811.09010 (2018)
Coauthor Index
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