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Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command
  Recognition

Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition

11 January 2022
Jun Qi
Javier Tejedor
ArXivPDFHTML

Papers citing "Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition"

3 / 3 papers shown
Title
CaTT-KWS: A Multi-stage Customized Keyword Spotting Framework based on
  Cascaded Transducer-Transformer
CaTT-KWS: A Multi-stage Customized Keyword Spotting Framework based on Cascaded Transducer-Transformer
Zhanheng Yang
Sining Sun
Jin Li
Xiaoming Zhang
Xiong Wang
Long Ma
Linfu Xie
9
6
0
04 Jul 2022
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
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
92
1,342
0
06 Jul 2016
1