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Exploring Deep Hybrid Tensor-to-Vector Network Architectures for
  Regression Based Speech Enhancement

Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement

25 July 2020
Jun Qi
Hu Hu
Yannan Wang
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Chin-Hui Lee
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Papers citing "Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement"

4 / 4 papers shown
Title
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on
  Riemannian Gradient Descent With Illustrations of Speech Processing
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Javier Tejedor
25
16
0
11 Mar 2022
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command
  Recognition
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition
Jun Qi
Javier Tejedor
22
4
0
11 Jan 2022
Learning Filterbanks for End-to-End Acoustic Beamforming
Learning Filterbanks for End-to-End Acoustic Beamforming
Samuele Cornell
Manuel Pariente
François Grondin
S. Squartini
32
7
0
08 Nov 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
29
44
0
06 Oct 2021
1