Improving Wake-Up-Word and General Speech Recognition Systems

Abstract

The aim of this paper is to design a whole speech recognition system that can work in both the Wake-up-word (WUW) and the General Automatic Speech Recognition (ASR) Systems with high accuracy. WUW is a modern technology in Speech Recognition (SR) that is not yet widely recognized. This new ARS system will be used to solve one of the biggest problems in speech recognition, which is how to discriminate between the uses of a word or phrase in an alerting and a referential context. Moreover, by using this paradigm the accuracy of commands that are used to interact with machines, such as one word or an entire sentence, will improve to have 100% accuracy. Due to the increasing number of speech commands in life, this model will be the best solution for applications that use the speech commands to active the computers, such as medical assistance, human-robot interaction, telecommunications industry, home automation, and security access control.