Ke Tan

Orcid: 0000-0001-5073-8060

Affiliations:
  • Ohio State University, Columbus, OH, USA


According to our database1, Ke Tan authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
A Closer Look at Wav2Vec2 Embeddings for On-Device Single-Channel Speech Enhancement.
CoRR, 2024

2023
Rethinking complex-valued deep neural networks for monaural speech enhancement.
CoRR, 2023

Torchaudio-Squim: Reference-Less Speech Quality and Intelligibility Measures in Torchaudio.
Proceedings of the IEEE International Conference on Acoustics, 2023

Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-Channel Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Neural Spectrospatial Filtering.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Multi-Channel Talker-Independent Speaker Separation Through Location-Based Training.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Location-Based Training for Multi-Channel Talker-Independent Speaker Separation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Deep Learning Based Real-Time Speech Enhancement for Dual-Microphone Mobile Phones.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Towards Model Compression for Deep Learning Based Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

SAGRNN: Self-Attentive Gated RNN For Binaural Speaker Separation With Interaural Cue Preservation.
IEEE Signal Process. Lett., 2021

Real-Time Speech Enhancement for Mobile Communication Based on Dual-Channel Complex Spectral Mapping.
Proceedings of the IEEE International Conference on Acoustics, 2021

Compressing Deep Neural Networks for Efficient Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Bridging the Gap Between Monaural Speech Enhancement and Recognition With Distortion-Independent Acoustic Modeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Audio-Visual Speech Separation and Dereverberation With a Two-Stage Multimodal Network.
IEEE J. Sel. Top. Signal Process., 2020

Improving Robustness of Deep Learning Based Monaural Speech Enhancement Against Processing Artifacts.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Gated Residual Networks With Dilated Convolutions for Monaural Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions.
Proceedings of the Interspeech 2019, 2019

Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective.
Proceedings of the IEEE International Conference on Acoustics, 2019

Real-time Speech Enhancement Using an Efficient Convolutional Recurrent Network for Dual-microphone Mobile Phones in Close-talk Scenarios.
Proceedings of the IEEE International Conference on Acoustics, 2019

Complex Spectral Mapping with a Convolutional Recurrent Network for Monaural Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
A Two-Stage Approach to Noisy Cochannel Speech Separation with Gated Residual Networks.
Proceedings of the Interspeech 2018, 2018

A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement.
Proceedings of the Interspeech 2018, 2018

Gated Residual Networks with Dilated Convolutions for Supervised Speech Separation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2015
MICROST: A mixed approach for heart rate monitoring during intensive physical exercise using wrist-type PPG Signals.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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