Cohesive Modeling, Analysis and Simulation for verbalise Urdu Language be with Fourier Descriptors and skittish Networks Engr. S K Hasnain, Member IET, champion professor, Pakistan dark blue blue Engineering College, Karachi National University of Engineering & Technology, Pakistan hasnain@pnec.edu.pk Dr. Azam Beg, Member IEEE, Assistant Professor College of Information Technology, UAE University Al-Ain, United Arab Emirate abeg@uaeu.ac.ae ABSTRACT This unified explore describes talk Urdu numbers investigative analysis from siffar (zero) to nau (nine) for making a concrete entry in actualisation of Urdu language. Sound samples from sixfold speakers were utilize to extract unlike features using Fourier descriptor and Neural networks. sign processing of data, i.e. normalizing and time-slicing was done using a conspiracy of Simulink in MATLAB. Afterwards, the MATLAB tool box commands were occasiond for calculation of Fourier descriptions and correlations. The correlat ion allowed coincidence of the same words spoken by the same and varied speakers. The analysis presented in this paper laid a bottom step in exploring Urdu language in developing an Urdu panache of speaking recognition system. In this paper the speech recognition feed-forward flighty network models in Matlab were developed.

The models and algorithm exhibited high teach and exam accuracies. Our major goal work involves in the upcoming use of TI TMS320C6000 DSK series or linear prognosticative coding. such a system can be potentially employ in implementation of a voice-driven help frame-up in different syste ms. Such as multi media, voice controlled te! le-customer services. Keywords: Spoken number, Fourier, Correlation, skylark extraction, Feed-forward neural networks, Learning rate Many researchers turn over worked in this regard. Some commercial softw are is also functional in the market for speech recognition, but mainly in side and other European languages. While the humans are speaking, the formats vary...If you extremity to get a full essay, order it on our website:
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