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Tensor-to-Vector Regression for Multi-channel Speech Enhancement based
  on Tensor-Train Network

Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
3 February 2020
Jun Qi
Hu Hu
Yannan Wang
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Chin-Hui Lee
    3DV
ArXiv (abs)PDFHTMLGithub (45★)

Papers citing "Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network"

10 / 10 papers shown
Theoretical Error Performance Analysis for Variational Quantum Circuit
  Based Functional Regression
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regressionnpj Quantum Information (NQI), 2022
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
349
72
0
08 Jun 2022
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for
  Speech Enhancement Using Sign-Exponent-Only Floating-Points
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points
Yu-Chen Lin
Cheng Yu
Y. Hsu
Szu-Wei Fu
Yu Tsao
Tei-Wei Kuo
157
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
287
64
0
06 Oct 2021
Improving Speech Enhancement Performance by Leveraging Contextual Broad
  Phonetic Class Information
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class InformationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020
Yen-Ju Lu
Chia-Yu Chang
Cheng Yu
Ching-Feng Liu
J. Hung
Shinji Watanabe
Yu Tsao
421
5
0
15 Nov 2020
Variational Inference-Based Dropout in Recurrent Neural Networks for
  Slot Filling in Spoken Language Understanding
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding
Jun Qi
Xu Liu
Javier Tejedor
DRL
284
2
0
23 Aug 2020
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector
  Regression
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector RegressionIEEE Signal Processing Letters (IEEE SPL), 2020
Jun Qi
Jun Du
Sabato Marco Siniscalchi
Xiaoli Ma
Chin-Hui Lee
193
285
0
12 Aug 2020
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network
  Based Vector-to-Vector Regression
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression
Jun Qi
Jun Du
Sabato Marco Siniscalchi
Xiaoli Ma
Chin-Hui Lee
270
47
0
04 Aug 2020
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 EnhancementInterspeech (Interspeech), 2020
Jun Qi
Hu Hu
Yannan Wang
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Chin-Hui Lee
349
12
0
25 Jul 2020
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement
Time-Domain Multi-modal Bone/air Conducted Speech EnhancementIEEE Signal Processing Letters (SPL), 2019
Cheng Yu
Kuo-Hsuan Hung
Syu-Siang Wang
Szu-Wei Fu
Yu Tsao
J. Hung
341
52
0
22 Nov 2019
Distributed Microphone Speech Enhancement based on Deep Learning
Distributed Microphone Speech Enhancement based on Deep Learning
Syu-Siang Wang
Yu-You Liang
J. Hung
Yu Tsao
H. Wang
Shih-Hau Fang
250
6
0
19 Nov 2019
1
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