MICROST: A mixed approach for heart rate monitoring during intensive physical exercise using wrist-type PPG Signals. - Shilin Zhu; Ke Tan 001; Xinyu Zhang; Zhiqiang Liu; Bin Liu 016 (EMBC, 2015)

Gated Residual Networks with Dilated Convolutions for Supervised Speech Separation. - Ke Tan 001; Jitong Chen; DeLiang Wang (ICASSP, 2018)

A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement. - Ke Tan 001; DeLiang Wang (INTERSPEECH, 2018)

A Two-Stage Approach to Noisy Cochannel Speech Separation with Gated Residual Networks. - Ke Tan 001; DeLiang Wang (INTERSPEECH, 2018)

Complex Spectral Mapping with a Convolutional Recurrent Network for Monaural Speech Enhancement. - Ke Tan 001; DeLiang Wang (ICASSP, 2019)

Real-time Speech Enhancement Using an Efficient Convolutional Recurrent Network for Dual-microphone Mobile Phones in Close-talk Scenarios. - Ke Tan 001; Xueliang Zhang 001; DeLiang Wang (ICASSP, 2019)

Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective. - Zhong-Qiu Wang 001; Ke Tan 001; DeLiang Wang (ICASSP, 2019)

Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions. - Hao Zhang 112; Ke Tan 001; DeLiang Wang (INTERSPEECH, 2019)

Gated Residual Networks With Dilated Convolutions for Monaural Speech Enhancement. - Ke Tan 001; Jitong Chen; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Improving Robustness of Deep Learning Based Monaural Speech Enhancement Against Processing Artifacts. - Ke Tan 001; DeLiang Wang (ICASSP, 2020)

Audio-Visual Speech Separation and Dereverberation With a Two-Stage Multimodal Network. - Ke Tan 001; Yong Xu 004; Shi-Xiong Zhang 001; Meng Yu 003; Dong Yu 001 (IEEE J. Sel. Top. Signal Process., 2020)

Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement. - Ke Tan 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Bridging the Gap Between Monaural Speech Enhancement and Recognition With Distortion-Independent Acoustic Modeling. - Peidong Wang; Ke Tan 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Compressing Deep Neural Networks for Efficient Speech Enhancement. - Ke Tan 001; DeLiang Wang (ICASSP, 2021)

Real-Time Speech Enhancement for Mobile Communication Based on Dual-Channel Complex Spectral Mapping. - Ke Tan 001; Xueliang Zhang 001; DeLiang Wang (ICASSP, 2021)

SAGRNN: Self-Attentive Gated RNN For Binaural Speaker Separation With Interaural Cue Preservation. - Ke Tan 001; Buye Xu; Anurag Kumar 003; Eliya Nachmani; Yossi Adi (IEEE Signal Process. Lett., 2021)

Towards Model Compression for Deep Learning Based Speech Enhancement. - Ke Tan 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Deep Learning Based Real-Time Speech Enhancement for Dual-Microphone Mobile Phones. - Ke Tan 001; Xueliang Zhang 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Location-Based Training for Multi-Channel Talker-Independent Speaker Separation. - Hassan Taherian; Ke Tan 001; DeLiang Wang (ICASSP, 2022)

Multi-Channel Talker-Independent Speaker Separation Through Location-Based Training. - Hassan Taherian; Ke Tan 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Neural Spectrospatial Filtering. - Ke Tan 001; Zhong-Qiu Wang 001; DeLiang Wang (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-Channel Speech Enhancement. - Kuan-Lin Chen 002; Daniel D. E. Wong; Ke Tan 001; Buye Xu; Anurag Kumar 003; Vamsi Krishna Ithapu (ICASSP, 2023)

Torchaudio-Squim: Reference-Less Speech Quality and Intelligibility Measures in Torchaudio. - Anurag Kumar 003; Ke Tan 001; Zhaoheng Ni; Pranay Manocha; Xiaohui Zhang 007; Ethan Henderson; Buye Xu (ICASSP, 2023)

A Simple RNN Model for Lightweight, Low-compute and Low-latency Multichannel Speech Enhancement in the Time Domain. - Ashutosh Pandey 004; Ke Tan 001; Buye Xu (INTERSPEECH, 2023)

Time-domain Transformer-based Audiovisual Speaker Separation. - Vahid Ahmadi Kalkhorani; Anurag Kumar 003; Ke Tan 001; Buye Xu; DeLiang Wang (INTERSPEECH, 2023)

Rethinking Complex-Valued Deep Neural Networks for Monaural Speech Enhancement. - Haibin Wu; Ke Tan 001; Buye Xu; Anurag Kumar 003; Daniel Wong (INTERSPEECH, 2023)

Audiovisual Speaker Separation with Full- and Sub-Band Modeling in the Time-Frequency Domain. - Vahid Ahmadi Kalkhorani; Anurag Kumar 003; Ke Tan 001; Buye Xu; DeLiang Wang (ICASSP, 2024)

A Closer Look at Wav2vec2 Embeddings for On-Device Single-Channel Speech Enhancement. - Ravi Shankar; Ke Tan 001; Buye Xu; Anurag Kumar 003 (ICASSP, 2024)

FoVNet: Configurable Field-of-View Speech Enhancement with Low Computation and Distortion for Smart Glasses. - Zhongweiyang Xu; Ali Aroudi; Ke Tan 001; Ashutosh Pandey 004; Jung-Suk Lee; Buye Xu; Francesco Nesta (INTERSPEECH, 2024)

Reexamining the Efficacy of MetricGAN for Speech Enhancement. - Haibin Wu; Ali Aroudi; Buye Xu; Ashutosh Pandey 004; Francesco Nesta; Anurag Kumar 003; Alexander Reich; Ke Tan 001 (ICASSP, 2025)

Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment. - Joanna Hong; Sanjeel Parekh; Honglie Chen; Jacob Donley; Ke Tan 001; Buye Xu; Anurag Kumar 003 (CoRR, 2025)

AV-CrossNet: An Audiovisual Complex Spectral Mapping Network for Speech Separation by Leveraging Narrow- and Cross-Band Modeling. - Vahid Ahmadi Kalkhorani; Cheng Yu; Anurag Kumar 003; Ke Tan 001; Buye Xu; DeLiang Wang (IEEE J. Sel. Top. Signal Process., 2025)