@article{(Open Science Index):https://publications.waset.org/pdf/4571, title = {An Advanced Method for Speech Recognition}, author = {Meysam Mohamad pour and Fardad Farokhi}, country = {}, institution = {}, abstract = {In this paper in consideration of each available techniques deficiencies for speech recognition, an advanced method is presented that-s able to classify speech signals with the high accuracy (98%) at the minimum time. In the presented method, first, the recorded signal is preprocessed that this section includes denoising with Mels Frequency Cepstral Analysis and feature extraction using discrete wavelet transform (DWT) coefficients; Then these features are fed to Multilayer Perceptron (MLP) network for classification. Finally, after training of neural network effective features are selected with UTA algorithm.}, journal = {International Journal of Electrical and Computer Engineering}, volume = {3}, number = {1}, year = {2009}, pages = {115 - 120}, ee = {https://publications.waset.org/pdf/4571}, url = {https://publications.waset.org/vol/25}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 25, 2009}, }