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We present a speech recognition prototype system in Spanish language to contribute to the study of the communication networks branch, alternative and innovative techniques of human computer interaction and the recognition with learning of the use and details about internetworking terms, in addition to the instruction on remote networks to carry out the search of all the possible routes, so subsequently choose the most efficient routes for data exchange among themselves, using dynamic routing by using one or more routing protocols such as: RIP, IPV 2, IGRP, EIGRP, OSPF, to later identify your metric either by jump count, bandwidth, delay and costs which the algorithm tells the protocol values to determine its metric value according to the lowest result you get a best route. The recognition of voice and taking of actions through the same is done using the artificial neuron (ADAptive LInear NEuron) and cepstrales coefficients of Mel as a method of extracting information from the audio files. This prototype, due to its basic neuron nature, was implemented and proved only in an controlled environment, the word’s recognition rate it’s between the 40% and 80% percent. The recognition eperimentation results are exposed in addition to the design of the intelligent tutor.

Intelligent Internetworking Tutoring System by Using Adaline Neuron and Mel Cepstral Coefficients