Wird geladen...
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...
Gespeichert in:
| Veröffentlicht in: | Front Artif Intell |
|---|---|
| 1. Verfasser: | |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2020
|
| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7861218/ https://ncbi.nlm.nih.gov/pubmed/33733161 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frai.2020.00044 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|