A Functional Model for Acquisition of Vowel-like Phonemes and Spoken Words Based on Clustering Method
A new born baby can gradually acquire spoken words in the condition where he/she is merely exposed to many linguistic sounds. In this paper, we propose a functional model of such acquisition of spoken words, in which first, vowel-like phonemes are automatically acquired and then the words are acquired using the words represented by these quasi-vowels. This model was applied to command words used for a robot. We implemented this model into a new clustering algorithm for word HMMs. Using this model, the acquisition of spoken words was performed with reasonably high recognition score even though a few phonemes were used. Then the proposed model was shown to represent the early stage of human process of spoken words’ acquisition.
Tomio Takara Eiji Yoshinaga Chiaki Takushi Toru Hirata
University of the Ryukyus, Okinawa, Japan
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-5
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）