Dfsnet: A steerable neural beamformer invariant to microphone array configuration for real-time, low-latency speech enhancement

A Kovalyov, K Patel, I Panahi - arXiv preprint arXiv:2302.13407, 2023 - arxiv.org
Invariance to microphone array configuration is a rare attribute in neural beamformers. Filter-
and-sum (FS) methods in this class define the target signal with respect to a reference …

Noise-aware network with shared channel-attention encoder and joint constraint for noisy speech separation

L Sun, X Zhou, A Gong, L Ye, P Li, ES Chng - Digital Signal Processing, 2025 - Elsevier
Recently, significant progress has been made in the end-to-end single-channel speech
separation in clean environments. For noisy speech separation, existing research mainly …

Decoupled Spatial and Temporal Processing for Resource Efficient Multichannel Speech Enhancement

A Pandey, B Xu - … 2024-2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
We present a novel model designed for resource-efficient multichannel speech
enhancement in the time domain, with a focus on low latency, lightweight, and low …

On the Importance of Neural Wiener Filter for Resource Efficient Multichannel Speech Enhancement

TA Hsieh, J Donley, D Wong, B Xu… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
We introduce a time-domain framework for efficient multichannel speech enhancement,
emphasizing low latency and computational efficiency. This framework incorporates two …

Real-time Speech Enhancement and Separation with a Unified Deep Neural Network for Single/Dual Talker Scenarios

K Patel, A Kovalyov, I Panahi - 2023 57th Asilomar Conference …, 2023 - ieeexplore.ieee.org
This paper introduces a practical approach for leveraging a real-time deep learning model to
alternate between speech enhancement and joint speech enhancement and separation …

Multi-channel Acoustic Signal Processing on Edge Devices

A Kovalyov - 2023 - utd-ir.tdl.org
Microphone arrays are useful in determining the space-time structure of an acoustic field.
They are widely employed in many popular acoustic signal processing applications …