ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.15822
  4. Cited By
UX-NET: Filter-and-Process-based Improved U-Net for Real-time
  Time-domain Audio Separation

UX-NET: Filter-and-Process-based Improved U-Net for Real-time Time-domain Audio Separation

28 October 2022
Kashyap Patel
A. Kovalyov
Issa Panahi
ArXivPDFHTML

Papers citing "UX-NET: Filter-and-Process-based Improved U-Net for Real-time Time-domain Audio Separation"

7 / 7 papers shown
Title
On the Importance of Neural Wiener Filter for Resource Efficient
  Multichannel Speech Enhancement
On the Importance of Neural Wiener Filter for Resource Efficient Multichannel Speech Enhancement
Tsun-An Hsieh
Jacob Donley
Daniel D. E. Wong
Buye Xu
Ashutosh Pandey
30
2
0
15 Jan 2024
Decoupled Spatial and Temporal Processing for Resource Efficient
  Multichannel Speech Enhancement
Decoupled Spatial and Temporal Processing for Resource Efficient Multichannel Speech Enhancement
Ashutosh Pandey
Buye Xu
42
1
0
15 Jan 2024
DFSNet: A Steerable Neural Beamformer Invariant to Microphone Array
  Configuration for Real-Time, Low-Latency Speech Enhancement
DFSNet: A Steerable Neural Beamformer Invariant to Microphone Array Configuration for Real-Time, Low-Latency Speech Enhancement
A. Kovalyov
Kashyap Patel
Issa Panahi
31
3
0
26 Feb 2023
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive
  Locally Recurrent Networks
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks
Max W. Y. Lam
Jun Wang
Dan Su
Dong Yu
35
29
0
13 Jan 2021
Dual-Path Transformer Network: Direct Context-Aware Modeling for
  End-to-End Monaural Speech Separation
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Jing-jing Chen
Qi-rong Mao
Dong Liu
62
280
0
28 Jul 2020
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source
  Separation
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller
Sebastian Ewert
S. Dixon
AI4TS
104
589
0
08 Jun 2018
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,376
0
07 Oct 2016
1