Voice Recognition Vehicle Movement System

Cars are one of the types of transport that people use daily and automotive technology has advanced at an incredible rate. In this study, the researcher developed and tested an automotive innovation by utilizing smartphones, in which existing automotive features can be managed by voice commands. The implementation completed will be able to add another feature to the vehicle. Voice recognition is the procedure of consequently perceiving a certain statement talked by a specific speaker focused around individual data included in discourse waves. This paper tries to control a car with the voice of a human. Recognizing the presence of noise is an important pre-processing task in Voice Recognition systems. Sensitivity to speech fluctuation, a lack of recognition precision, and the inability to mimic are some of the main specialized barriers that prevent a wide range of speech-based recognition systems from being chosen. Voice recognition systems work sensibly well with a quiet condition however inadequately under loud conditions. As a result, the accuracy for the command by the user was around 88.57%. Other than that, the accent user that has been used for the trial was around 100% and for the range of Bluetooth to receive commands from user around 77%. For the percentage area, every time the user gives commands, and the ranges are 11.43% and 33% respectively.