Seeing [u] aids vocal learning: Babbling and imitation of vowels using a 3D vocal tract model, reinforcement learning, and reservoir computing

M. Murakami, B. Kröger, P. Birkholz, J. Triesch
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引用次数: 26

Abstract

We present a model of imitative vocal learning consisting of two stages. First, the infant is exposed to the ambient language and forms auditory knowledge of the speech items to be acquired. Second, the infant attempts to imitate these speech items and thereby learns to control the articulators for speech production. We model these processes using a recurrent neural network and a realistic vocal tract model. We show that vowel production can be successfully learnt by imitation. Moreover, we find that acquisition of [u] is impaired if visual information is discarded during imitation. This might give sighted infants an advantage over blind infants during vocal learning, which is in agreement with experimental evidence.
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Seeing [u]帮助语音学习:使用3D声道模型、强化学习和存储库计算来咿呀学语和模仿元音
我们提出了一个由两个阶段组成的模仿声乐学习模型。首先,婴儿暴露在环境语言中,形成待习得言语项目的听觉知识。其次,婴儿试图模仿这些言语项目,从而学会控制发音器来产生言语。我们使用一个循环神经网络和一个真实的声道模型来模拟这些过程。我们证明元音的产生可以通过模仿成功地学习。此外,我们发现,如果在模仿过程中丢弃视觉信息,则对[u]的习得会受到损害。这可能使视力正常的婴儿在声乐学习方面比失明的婴儿有优势,这与实验证据是一致的。
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