The Identification of Dog’s Identity via Rough Set Method
An-Bang Cheng, Kun‐Li Wen · 2018
The aims of the paper is presented significant in rough set to identity the voice in difference order, Firstly, the paper uses voice recognition method to trans late the voice into digital type. Secondly, based on the calculated data that to get the Mel cepstrum parameter of the voice. Thirdly, through the significant in rough set method to identity which one is the mostly close? In the real example, the paper presents to four of dogs as the analysis object, record their barking voice, then, uses significant in rough set to find which dog is the most closest to the inspected dog. Through the actual verification, it can find that the method in our paper in the dog barking identification is quite feasible.