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20172023
most citedClassical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks

12 citations · 22 across the 7 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022

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 +1

This work focuses on designing low complexity hybrid tensor networks by considering trade-offs between the model complexity and practical performance. Firstly, we exploit a low-ran…

cs.SD2022

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

Jun Qi, Javier Tejedor

This work aims to design a low complexity spoken command recognition (SCR) system by considering different trade-offs between the number of model parameters and classification accu…