1 citations · 1 across the 6 of their papers we have counts for
6 papers
A Novel Deep Learning Framework for Efficient Multichannel Acoustic Feedback Control
Yuan-Kuei Wu, Juan Azcarreta, Kashyap Patel +4
This study presents a deep-learning framework for controlling multichannel acoustic feedback in audio devices. Traditional digital signal processing methods struggle with convergen…
Real-time Speech Enhancement and Separation with a Unified Deep Neural Network for Single/Dual Talker Scenarios
Kashyap Patel, Anton Kovalyov, Issa Panahi
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 depend…
Accurate Real-Time Estimation of 2-Dimensional Direction of Arrival using a 3-Microphone Array
Anton Kovalyov, Kashyap Patel, Issa Panahi
This paper presents a method for real-time estimation of 2-dimensional direction of arrival (2D-DOA) of one or more sound sources using a nonlinear array of three microphones. 2D-D…
DFSNet: A Steerable Neural Beamformer Invariant to Microphone Array Configuration for Real-Time, Low-Latency Speech Enhancement
Anton Kovalyov, Kashyap Patel, Issa Panahi
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 referen…
Closed-Form Solution for Scaling a Wireless Acoustic Sensor Network
Kashyap Patel, Anton Kovalyov, Issa Panahi
This study presents a closed-form solution for localizing and synchronizing an acoustic sensor node with respect to a Wireless Acoustic Sensor Network (WASN). The aim is to allow e…
UX-NET: Filter-and-Process-based Improved U-Net for Real-time Time-domain Audio Separation
Kashyap Patel, Anton Kovalyov, Issa Panahi
This study presents UX-Net, a time-domain audio separation network (TasNet) based on a modified U-Net architecture. The proposed UX-Net works in real-time and handles either single…