Modern Speech Identification Model using Acoustic Neural approach

Modern day technology demands sophisticated technology to give input commands to computational devices. Prominent techniques has to be introduced to make human machine interface smooth and compatible especially speech signals. Establishing efficient communication between computer and machine plays a vital role in speech processing. This article uses one of current technologies in the Continuous Speech Recognition systems which is Reservoir Computing based Neural Network followed by likelihood conversion. Our aim is to build a stand-alone system which understands the terminology of languages. Throughout the development, measures will be taken to keep the memory requirement and the processing time of the software as small as possible