Feng Song
School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Jiang Su, 210003, Nanjing, China
Zhang Shaobai
School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Jiang Su, 210003, Nanjing, China
ABSTRACT
DIVA (Direction Into Velocities of Articulators) model can be more accurately described as a mathematical model, it shows the role of the human brain regions involved in speech production and understanding. With high accuracy and openness, this model in recent years has been studied by various concerns. But we find the simulation have some access with realistic physiological processes because that the voice processing is too complex. Thus, this study uses another delay mechanism, which is constant delay mechanism, makes its workflow more reasonable and having a realistic sense of simulation results. In the simulation experiment, after introducing the new delay module, the speech process is satisfactory and closer to the physiological processes.
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How to cite this article
Feng Song and Zhang Shaobai, 2013. Research and Application of Constant Delay Based on DIVA Model. Information Technology Journal, 12: 5896-5900.
DOI: 10.3923/itj.2013.5896.5900
URL: https://scialert.net/abstract/?doi=itj.2013.5896.5900
DOI: 10.3923/itj.2013.5896.5900
URL: https://scialert.net/abstract/?doi=itj.2013.5896.5900
REFERENCES
- Brown, S., E. Ngan and M. Liotti, 2008. A larynx area in the human motor cortex. Cerebral Cortex, 18: 837-845.
CrossRef - Golfinopoulos, E., J.A. Tourville, J.W. Bohland, S.S. Ghosh, A. Nieto-Castanon and F.H. Guenther, 2011. fMRI investigation of unexpected somatosensory feedback perturbation during speech. NeuroImage, 55: 1324-1338.
CrossRef - Guenther, F.H., S.S. Ghosh and J.A. Tourville, 2006. Neural modeling and imaging of the cortical interactions underlying syllable production. Brain Lang., 96: 280-301.
CrossRef - Brumberg, J.S., A. Nieto-Castanon, P.R. Kennedy and F.H. Guenther, 2010. Brain-computer interfaces for speech communication. Speech Commun., 52: 367-379.
CrossRef - Chua, L.O. and L. Yang, 1988. Cellular neural networks: Theory. IEEE Trans. Circuits Syst., 35: 1257-1272.
CrossRef - Qi, Z.Q. and D.L. Peng, 2010. Brain mechanism research of speech processing: Current situation, puzzles and prospect. J. Beijing Normal Univ. (Social Sci.), 4: 40-47.
Direct Link - Tourville, J.T. and F.H. Guenther, 2011. The DIVA model: A neural theory of speech acquisition and production. Lang. Cognit. Processes, 26: 952-981.
CrossRef