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Generative Adversarial Phonology: Modeling unsupervised phonetic and
  phonological learning with neural networks

Generative Adversarial Phonology: Modeling unsupervised phonetic and phonological learning with neural networks

6 June 2020
Gašper Beguš
    GAN
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Papers citing "Generative Adversarial Phonology: Modeling unsupervised phonetic and phonological learning with neural networks"

4 / 4 papers shown
Title
GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from
  Diffusion Models
GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion Models
Matthew Baas
Herman Kamper
DiffM
40
8
0
11 Oct 2022
Interpreting intermediate convolutional layers in unsupervised acoustic
  word classification
Interpreting intermediate convolutional layers in unsupervised acoustic word classification
Gašper Beguš
Alan Zhou
FAtt
SSL
33
5
0
05 Oct 2021
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
19
13
0
27 Sep 2020
The Fine Line between Linguistic Generalization and Failure in
  Seq2Seq-Attention Models
The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Noah Weber
L. Shekhar
Niranjan Balasubramanian
102
30
0
03 May 2018
1