[1]ZHANG Shaobai,LIU Xin.Automatic acquisition of speech sound-target cells based on DIVA model[J].CAAI Transactions on Intelligent Systems,2013,8(4):305-311.[doi:10.3969/j.issn.1673-4785.201304049]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
8
Number of periods:
2013 4
Page number:
305-311
Column:
学术论文—机器感知与模式识别
Public date:
2013-08-25
- Title:
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Automatic acquisition of speech sound-target cells based on DIVA model
- Author(s):
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ZHANG Shaobai; LIU Xin
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College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210046, China
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- Keywords:
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DIVA model; phoneme; speech sound-target cells; speech acquisition and production
- CLC:
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TP31
- DOI:
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10.3969/j.issn.1673-4785.201304049
- Abstract:
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Contraposing the shortage of Directions Into Velocities of Articulators (DIVA) model about “infants perceptual abilities do develop faster at first than their speech production skills”, the paper presents an automatic acquisition method of speech sound-target cells. The method simulates the human ear as a parallel band-pass filter group with different bandwidth and associates respectively; the filter with the 21-dimensional storage space of auditory sense in DIVA model. This method was done in order for different auditory reactions, the shielding effect of frequency band, sound loudness, and frequency relation could be considered respectively for this study. In the process of reading the input signal of speech, the model can acquire good initial hearing and the process is consistent with baby’s babble. The simulation results show that through boundary definition, similarity comparison, searching and updates and so on, the method has nicer self-organized pattern matching effect for initial input, which makes the DIVA model a more natural characteristic regarding speech acquisition.