An auditory-feedback-based neural network model of speech production that is robust to developmental changes in the size and shape of the articulatory system.

@article{Callan2000AnAN,
  title={An auditory-feedback-based neural network model of speech production that is robust to developmental changes in the size and shape of the articulatory system.},
  author={Daniel E. Callan and Raymond D. Kent and Frank H. Guenther and Houri K. Vorperian},
  journal={Journal of speech, language, and hearing research : JSLHR},
  year={2000},
  volume={43 3},
  pages={
          721-36
        }
}
The purpose of this article is to demonstrate that self-produced auditory feedback is sufficient to train a mapping between auditory target space and articulator space under conditions in which the structures of speech production are undergoing considerable developmental restructuring. One challenge for competing theories that propose invariant constriction targets is that it is unclear what teaching signal could specify constriction location and degree so that a mapping between constriction… CONTINUE READING

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