@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}, }