Ashutosh Pandey

Orcid: 0000-0002-3352-7453

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


According to our database1, Ashutosh Pandey authored at least 30 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
A systematic study of DNN based speech enhancement in reverberant and reverberant-noisy environments.
Comput. Speech Lang., 2025

2024
FoVNet: Configurable Field-of-View Speech Enhancement with Low Computation and Distortion for Smart Glasses.
CoRR, 2024

All Neural Low-latency Directional Speech Extraction.
CoRR, 2024

Towards Decoupling Frontend Enhancement and Backend Recognition in Monaural Robust ASR.
CoRR, 2024

Leveraging Sound Localization to Improve Continuous Speaker Separation.
Proceedings of the IEEE International Conference on Acoustics, 2024

On the Importance of Neural Wiener Filter for Resource Efficient Multichannel Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2024

Decoupled Spatial and Temporal Processing for Resource Efficient Multichannel Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2024

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

Attentive Training: A New Training Framework for Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Time-Domain Speech Enhancement for Robust Automatic Speech Recognition.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multi-input Multi-output Complex Spectral Mapping for Speaker Separation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A Simple RNN Model for Lightweight, Low-compute and Low-latency Multichannel Speech Enhancement in the Time Domain.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
Self-Attending RNN for Speech Enhancement to Improve Cross-Corpus Generalization.
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

Time-domain Ad-hoc Array Speech Enhancement Using a Triple-path Network.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Attentive Training: A New Training Framework for Talker-independent Speaker Extraction.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Multichannel Speech Enhancement Without Beamforming.
Proceedings of the IEEE International Conference on Acoustics, 2022

TPARN: Triple-Path Attentive Recurrent Network for Time-Domain Multichannel Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Dense CNN With Self-Attention for Time-Domain Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

TADRN: Triple-Attentive Dual-Recurrent Network for Ad-hoc Array Multichannel Speech Enhancement.
CoRR, 2021

Dual Application of Speech Enhancement for Automatic Speech Recognition.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020
On Cross-Corpus Generalization of Deep Learning Based Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Dual-path Self-Attention RNN for Real-Time Speech Enhancement.
CoRR, 2020

Learning Complex Spectral Mapping for Speech Enhancement with Improved Cross-Corpus Generalization.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Densely Connected Neural Network with Dilated Convolutions for Real-Time Speech Enhancement in The Time Domain.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A New Framework for CNN-Based Speech Enhancement in the Time Domain.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Exploring Deep Complex Networks for Complex Spectrogram Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2019

TCNN: Temporal Convolutional Neural Network for Real-time Speech Enhancement in the Time Domain.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
A New Framework for Supervised Speech Enhancement in the Time Domain.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

On Adversarial Training and Loss Functions for Speech Enhancement.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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