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Deep Reinforcement Learning for Articulatory Synthesis in a Vowel-to-Vowel Imitation Task
Articulatory synthesis is one of the approaches used for modeling human speech production. In this study, we propose a model-based algorithm for learning the policy to control the vocal tract of the articulatory synthesizer in a vowel-to-vowel imitation task. Our method does not require external tra...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147087/ https://www.ncbi.nlm.nih.gov/pubmed/37050496 http://dx.doi.org/10.3390/s23073437 |