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Generative Adversarial Phonology: Modeling Unsupervised Phonetic and Phonological Learning With Neural Networks
Training deep neural networks on well-understood dependencies in speech data can provide new insights into how they learn internal representations. This paper argues that acquisition of speech can be modeled as a dependency between random space and generated speech data in the Generative Adversarial...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861218/ https://www.ncbi.nlm.nih.gov/pubmed/33733161 http://dx.doi.org/10.3389/frai.2020.00044 |