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Deformable Temporal Convolutional Networks for Monaural Noisy
  Reverberant Speech Separation

Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation

27 October 2022
William Ravenscroft
Stefan Goetze
Thomas Hain
ArXivPDFHTML

Papers citing "Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation"

5 / 5 papers shown
Title
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
Le Yang
Ziwei Zheng
Yizeng Han
Hao-Ran Cheng
Shiji Song
Gao Huang
Fan Li
51
8
0
03 Jul 2024
Single-Microphone Speaker Separation and Voice Activity Detection in
  Noisy and Reverberant Environments
Single-Microphone Speaker Separation and Voice Activity Detection in Noisy and Reverberant Environments
Renana Opochinsky
Mordehay Moradi
Sharon Gannot
13
4
0
07 Jan 2024
On Time Domain Conformer Models for Monaural Speech Separation in Noisy
  Reverberant Acoustic Environments
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments
William Ravenscroft
Stefan Goetze
Thomas Hain
25
7
0
09 Oct 2023
On Data Sampling Strategies for Training Neural Network Speech
  Separation Models
On Data Sampling Strategies for Training Neural Network Speech Separation Models
William Ravenscroft
Stefan Goetze
Thomas Hain
VLM
11
6
0
14 Apr 2023
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,190
0
07 Oct 2016
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