Designing and Implementation a Simple Algorithm Considering the Maximum Audio Frequency of Persian Vocabulary in Order to Robot Speech Control Based on Arduino

Based on the definition, speech process is known as the audio signals Conversion process as an input for checking systems by computer algorithms. The importance of this field is for many applications such as aerospace. Automatic translation, providing news texts from lectures, home intelligent automation, Computer games. Serving the blinds and low—power people, collecting and organizing different information resources like books, websites and also facilitate and expedite in educational services. This study has done with the purpose of introducing and testing a simple algorithm for Persian vocabulary and implementation of a robot structure based on the Arduino. The important point of this study is using audio signals in Persian language which has a history less than two decades. Although some attempts such as Nevisa and speech to text conversion software has been made, but based on researcher’s investigation, there was not found a controllable product based on Persian vocabulary. Creating relevant response with the highest audio frequency based on three Persian terms, “right”, “left” and “straight” is the purpose which has considered in this article. In this article, Sound is received by the microphone and through Matlab software by getting and processing maximum received signal frequency, the higher frequency of receiving sound will be determined and transferred to the Arduino board existence on robot through serial communication which leads to a movement reaction based on the definition of this number by a robot. The way of sampling is totally free considering the kind of microphone and distance, and results of this study in the review of three words, “left”, “right” and “straight” is an indicator of the efficiency of the suggested algorithm with the success rate of 73 and 24% failure at the first repetition and with the success rate of 86 and 14% failure at the second repetition.