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Subspace-based Representation and Learning for Phonotactic Spoken
  Language Recognition

Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition

28 March 2022
Hung-Shin Lee
Yu Tsao
Shyh-Kang Jeng
Hsin-Min Wang
ArXiv (abs)PDFHTML

Papers citing "Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition"

4 / 4 papers shown
Title
Cheap Orthogonal Constraints in Neural Networks: A Simple
  Parametrization of the Orthogonal and Unitary Group
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
Mario Lezcano Casado
David Martínez-Rubio
50
200
0
24 Jan 2019
Convolutional Recurrent Neural Networks for Polyphonic Sound Event
  Detection
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Emre Çakir
Giambattista Parascandolo
Toni Heittola
H. Huttunen
Tuomas Virtanen
ObjD
45
546
0
21 Feb 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
188
1,852
0
20 Dec 2013
1