Study of Control Strategy Mimicking Speech Motor Learning for a Physiological Articulatory Model
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概要
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A full 3D physiological articulatory model was developed to simulate the mechanism of human speech production. In order to control the physiological articulatory model to generate speech sound, we construct a mapping from acoustic objective to muscle activation patterns by simulating the babbling process in speech acquisition. After the babbling phase, the mapping from acoustic objective to muscle activation patterns was built up using a two layer neural network. In order to evaluate the mapping、 muscle activation patterns were estimated from a known speech sound, and then were used to drive the physiological articulatory model to synthesize speech. The comparison results of the acoustic space and articulatory space showed that the proposed mapping-based control strategy was feasible for model control.
- 信号処理学会の論文
- 2011-07-00
信号処理学会 | 論文
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