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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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Andreas, Jacob; Beguš, Gašper; Bronstein, Michael M.; Diamant, Roee; Delaney, Denley; Gero, Shane; Goldwasser, Shafi; Gruber, David F.; de Haas, Sarah; Malkin, Peter; Payne, Roger; Petri, Giovanni; Rus, Daniela; Sharma, Pratyusha; Tchernov, Dan; Tønnesen, Pernille; Torralba, Antonio; Vogt, Daniel; Wood, Robert J.. - : arXiv, 2021
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Abstract:
The past decade has witnessed a groundbreaking rise of machine learning for human language analysis, with current methods capable of automatically accurately recovering various aspects of syntax and semantics - including sentence structure and grounded word meaning - from large data collections. Recent research showed the promise of such tools for analyzing acoustic communication in nonhuman species. We posit that machine learning will be the cornerstone of future collection, processing, and analysis of multimodal streams of data in animal communication studies, including bioacoustic, behavioral, biological, and environmental data. Cetaceans are unique non-human model species as they possess sophisticated acoustic communications, but utilize a very different encoding system that evolved in an aquatic rather than terrestrial medium. Sperm whales, in particular, with their highly-developed neuroanatomical features, cognitive abilities, social structures, and discrete click-based encoding make for an excellent ...
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Keyword:
Artificial Intelligence cs.AI; Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Robotics cs.RO; Sound cs.SD
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URL: https://dx.doi.org/10.48550/arxiv.2104.08614 https://arxiv.org/abs/2104.08614
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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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