2009 IEEE/RSJ International Conference on Intelligent Robots and Systems 2009
DOI: 10.1109/iros.2009.5354825
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Phoneme acquisition model based on vowel imitation using Recurrent Neural Network

Abstract: -A phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. There are two important findings in constructing an infant's acquisition of phonemes: (1) an infant's vowel like cooing tends to invoke utterances that are imitated by its caregiver, and (2) maternal imitation effectively reinforces infant vocalization. Therefore, we hypothesized that infants can acquire phonemes to imitate their caregivers'… Show more

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Cited by 6 publications
(3 citation statements)
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“…H. Kanda et al, describe a computational model that explains the development process of human infants in the first acquisition period of the language [39]. The model is based on recurrent neural networks.…”
Section: Related Workmentioning
confidence: 99%
“…H. Kanda et al, describe a computational model that explains the development process of human infants in the first acquisition period of the language [39]. The model is based on recurrent neural networks.…”
Section: Related Workmentioning
confidence: 99%
“…In [9], a phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. It is based on recurrent neural networks.…”
Section: Related Workmentioning
confidence: 99%
“…Ref. [19], we are not using explicit models of the human vocal tract but rather produce speech at the signal level directly using a source/filter model similar to Ref. [20].…”
Section: Speech Imitationmentioning
confidence: 99%