About Me
My name is Heming Wang, and I am currently a Ph.D. student in Computer Science and Engineering at the Ohio State University, advised by Prof. DeLiang Wang. Before joining OSU, I received my master degree in Applied Mathematics from University of Waterloo. My research interests focus on speech enhancement, audio super-resolution and machine learning.
Interests
- Speech enhancement
- Audio super-resolution
- Machine learning
Education
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PhD in Computer Science and Engineering, in progress
The Ohio State University
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MMath in Applied Mathematics, 2018
University of Waterloo
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BSc in Physics, 2016
University of Waterloo
Recent Publications
(2022).
Attention-Based Fusion for Bone-Conducted and Air-Conducted Speech Enhancement in the Complex Domain.
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
(2022).
Cross-Domain Speech Enhancement with a Neural Cascade Architecture.
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
(2022).
Densely-connected Convolutional Recurrent Network for Fundamental Frequency Estimation in Noisy Speech.
Proc. Interspeech 2022.
(2022).
Fusing Bone-conduction and Air-conduction Sensors for Complex-Domain Speech Enhancement.
IEEE/ACM Transactions on Audio, Speech, and Language Processing.
(2022).
Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction.
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
(2022).
Wav2vec-switch: Contrastive Learning from Original-noisy Speech Pairs for Robust Speech Recognition.
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
(2021).
Neural Cascade Architecture with Triple-domain Loss for Speech Enhancement.
IEEE/ACM Transactions on Audio, Speech, and Language Processing.
(2021).
Towards Robust Speech Super-resolution.
IEEE/ACM transactions on audio, speech, and language processing.
(2020).
Time-frequency Loss for CNN based Speech Super-resolution.
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
(2018).
A Diffusion-based Two-dimensional Empirical Mode Decomposition (EMD) Algorithm for Image Analysis.
International Conference Image Analysis and Recognition.
(2018).
A Novel Foward-PDE Approach as an Alternative to Empirical Mode Decomposition.
arXiv preprint arXiv:1802.00835.