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03/11/2022
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing
This work focuses on designing low complexity hybrid tensor networks by ...
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01/11/2022
Exploiting Hybrid Models of Tensor-Train Networks for Spoken Command Recognition
This work aims to design a low complexity spoken command recognition (SC...
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10/17/2021
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks
This work investigates an extension of transfer learning applied in mach...
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08/23/2020
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding
This paper proposes to generalize the variational recurrent neural netwo...
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01/27/2020
Submodular Rank Aggregation on Score-based Permutations for Distributed Automatic Speech Recognition
Distributed automatic speech recognition (ASR) requires to aggregate out...
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07/04/2017