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CiwGAN and fiwGAN: Encoding information in acoustic data to model
  lexical learning with Generative Adversarial Networks

CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks

4 June 2020
Gašper Beguš
    GAN
ArXivPDFHTML

Papers citing "CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks"

5 / 5 papers shown
Title
Big Data and the Computational Social Science of Entrepreneurship and Innovation
Big Data and the Computational Social Science of Entrepreneurship and Innovation
Ningzi Li
Shiyang Lai
James Evans
AILaw
34
0
0
13 May 2025
Interpreting intermediate convolutional layers in unsupervised acoustic
  word classification
Interpreting intermediate convolutional layers in unsupervised acoustic word classification
Gašper Beguš
Alan Zhou
FAtt
SSL
38
5
0
05 Oct 2021
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word
  Embeddings
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings
Puyuan Peng
Herman Kamper
Karen Livescu
DRL
SSL
14
14
0
03 Dec 2020
Local and non-local dependency learning and emergence of rule-like
  representations in speech data by Deep Convolutional Generative Adversarial
  Networks
Local and non-local dependency learning and emergence of rule-like representations in speech data by Deep Convolutional Generative Adversarial Networks
Gašper Beguš
GAN
24
13
0
27 Sep 2020
Identity-Based Patterns in Deep Convolutional Networks: Generative
  Adversarial Phonology and Reduplication
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication
Gašper Beguš
GAN
SSL
13
15
0
13 Sep 2020
1