Portable Expert System to Voice and Speech Recognition Using an Open Source Computer Hardware

A portable an distributed expert system has been implemented in order to carry out voice and speech recognition of different people. The device consists of an open source microcontroller connected to a microphone that would be able to instantly recognize words and people, and could be distributed as a real time device in the security field. Two different methods of artificial neural network have been performed to implement the system: the first one has been the Continuous Hopfield Network to store and recover patterns previously stored, in order to know the word used to communicate with the system, the second one has been the Backpropagation Algorithm used to recognize between different speakers. However prior to performing these methods, it has been necessary to pre-process the information so that it can be computed in this type of device, transforming sound files into a set of useful data using a Fast Fourier Transform. The results obtained have been satisfactory with an accuracy above 80% for words recovery with a white noise of 40% of the signal and above 80% for recognizing a person with a new words introduced.