Hao Zhang

Orcid: 0000-0002-6749-8320

Affiliations:
  • Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA


According to our database1, Hao Zhang authored at least 20 papers between 2018 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Enhanced Acoustic Howling Suppression via Hybrid Kalman Filter and Deep Learning Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Preference Alignment Improves Language Model-Based TTS.
CoRR, 2024

EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer.
CoRR, 2024

SMRU: Split-And-Merge Recurrent-Based UNet For Acoustic Echo Cancellation And Noise Suppression.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024

2023
Deep MCANC: A deep learning approach to multi-channel active noise control.
Neural Networks, January, 2023

Low-Latency Active Noise Control Using Attentive Recurrent Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Unifying Robustness and Fidelity: A Comprehensive Study of Pretrained Generative Methods for Speech Enhancement in Adverse Conditions.
CoRR, 2023

KalmanNet: A Learnable Kalman Filter for Acoustic Echo Cancellation.
CoRR, 2023

Hybrid AHS: A Hybrid of Kalman Filter and Deep Learning for Acoustic Howling Suppression.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Neuralkalman: A Learnable Kalman Filter for Acoustic Echo Cancellation.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Neural Cascade Architecture for Multi-Channel Acoustic Echo Suppression.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Attentive Recurrent Network for Low-Latency Active Noise Control.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Neural Cascade Architecture for Joint Acoustic Echo and Noise Suppression.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Deep ANC: A deep learning approach to active noise control.
Neural Networks, 2021

Multi-Channel and Multi-Microphone Acoustic Echo Cancellation Using A Deep Learning Based Approach.
CoRR, 2021

A Deep Learning Approach to Multi-Channel and Multi-Microphone Acoustic Echo Cancellation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

A Deep Learning Method to Multi-Channel Active Noise Control.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
A Deep Learning Approach to Active Noise Control.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019
Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Deep Learning for Acoustic Echo Cancellation in Noisy and Double-Talk Scenarios.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018


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