GSOM-based modeling study on phoneme acquisition

Summary form only given. Based on the Growing Self-Organizing Map (GSOM) modeling algorithm, by integrating optimized growing strategy and involving “cyclical reinforcing and reviewing training” procedure, we simulated phoneme acquisition of Standard German. The simulating result shows that the “cyclical reinforcing and reviewing training” procedure can improve learning quality of the network significantly; the modeling algorithm can acquire the vowel and manner of articulation categories and build the corresponding knowledge network in a proper way. The modeling result reveals that during language acquisition, children have the ability to utilize acoustic (spectrogram) features to acquire vowel categories and categories of different manners of articulation, and build acoustic space relations among different vowels.