@article{(Open Science Index):https://publications.waset.org/pdf/14939,
	  title     = {Environmental Interference Cancellation of Speech with the Radial Basis Function Networks: An Experimental Comparison},
	  author    = {Nima Hatami},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we use Radial Basis Function Networks
(RBFN) for solving the problem of environmental interference
cancellation of speech signal. We show that the Second Order Thin-
Plate Spline (SOTPS) kernel cancels the interferences effectively.
For make comparison, we test our experiments on two conventional
most used RBFN kernels: the Gaussian and First order TPS (FOTPS)
basis functions. The speech signals used here were taken from the
OGI Multi-Language Telephone Speech Corpus database and were
corrupted with six type of environmental noise from NOISEX-92
database. Experimental results show that the SOTPS kernel can
considerably outperform the Gaussian and FOTPS functions on
speech interference cancellation problem.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {2},
	  number    = {5},
	  year      = {2008},
	  pages     = {882 - 886},
	  ee        = {https://publications.waset.org/pdf/14939},
	  url   	= {https://publications.waset.org/vol/17},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 17, 2008},
	}