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Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no access to speech data ...
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Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales ...
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Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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Abstract:
This papermodels unsupervised learning of an identity-based pattern (or copying) in speech called reduplication from raw continuous data with deep convolutional neural networks. We use the ciwGAN architecture (Beguˇs, 2021a) in which learning of meaningful representations in speech emerges from a requirement that the CNNs generate informative data. We propose a technique to wug-test CNNs trained on speech and, based on four generative tests, argue that the network learns to represent an identity-based pattern in its latent space. By manipulating only two categorical variables in the latent space, we can actively turn an unreduplicated form into a reduplicated form with no other substantial changes to the output in the majority of cases.We also argue that the network extends the identity-based pattern to unobserved data. Exploration of how meaningful representations of identity-based patterns emerge in CNNs and how the latent space variables outside of the training range correlate with identity-based patterns ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://dx.doi.org/10.48448/j1k8-bt45 https://underline.io/lecture/38202-identity-based-patterns-in-deep-convolutional-networks-generative-adversarial-phonology-and-reduplication
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Interpreting intermediate convolutional layers of CNNs trained on raw speech ...
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Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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Interpreting intermediate convolutional layers in unsupervised acoustic word classification ...
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Generative Adversarial Phonology: Modeling unsupervised phonetic and phonological learning with neural networks ...
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Local and non-local dependency learning and emergence of rule-like representations in speech data by Deep Convolutional Generative Adversarial Networks ...
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Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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Deep Sound Change: Deep and Iterative Learning, Convolutional Neural Networks, and Language Change ...
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Modeling unsupervised phonetic and phonological learning in Generative Adversarial Phonology ...
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CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks ...
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Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks
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In: Front Artif Intell (2020)
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Modeling unsupervised phonetic and phonological learning in Generative Adversarial Phonology
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Unnatural Phonology: A Synchrony-Diachrony Interface Approach
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Relativna kronologija naglasnih pojavov govora Žirovske kotline poljanskega narečja ; The Relative Chronology of Word-Prosodic Phenomena in the Local Dialect of the Žiri Basin (Poljana Dialect)
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Beguš, Gašper. - : ZRC SAZU and Hall Center for the Humanities, 2011
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