Artificial neural network based autoregressive modeling technique with application in voice activity detection

Author:

Aibinu A.M.,Salami M.J.E.,Shafie A.A.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference53 articles.

1. Aibinu, M., Shafie, A.A., Salami, M.J.E., Salami, A.F., Bamgbopa, I.A., Lawal, W.A., December 2008. Development of a new method of crack modeling and prediction algorithm. In: Proceedings of the 3rd International Conference on Mechatronics (ICOM-08), Kuala Lumpur, Malaysia, pp. 434–438.

2. Aibinu, A.M., Salami, M.J.E., Shafie, A.A., June 2009. Complex valued autoregressive modeling technique using artificial neural network. Biosignal Interpretation, Yale USA.

3. Aibinu, A.M., Salami, M.J.E., Shafie, A.A., 2010. Determination of complex-valued parametric model coefficients using artificial neural network technique, volume 2010 (2010), Article ID 984381.

4. Aibinu, A.M., Najib, A.R., Azeez, J.F., Ataul Karim Rajin, S.M., May 2011a. A method for silence removal and segmentation of speech signals, implemented in MATLAB. In: Proceedings of 4th International Conference on Mechatronics (ICOM), Malaysia, pp. 17–19.

5. Aibinu, A.M., Salami, M.J.E., Mohamad Ghazali bin Ameer Amsa, July 2011b. A hybrid technique for dinar coin price prediction using artificial neural network based autoregressive modeling technique. In: Proceedings of the 2nd World Conference on Riba, pp. 130–141.

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