基于粗糙集方法的狗的身份识别

Anruo Cheng, Kun-Li Wen
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引用次数: 0

摘要

本文的目的是在粗糙集上对不同顺序的语音进行识别。首先,本文使用语音识别方法将语音转换为数字类型。其次,根据计算得到的数据得到语音的梅尔倒谱参数。第三,通过粗糙集中的显著性方法来识别哪一个最接近?在实际示例中,本文以4只狗作为分析对象,记录它们的吠叫声音,然后使用粗糙集中的显著性来找到与被检测狗最接近的狗。通过实际验证,可以发现本文的方法在犬叫声识别中是相当可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Identification of Dog’s Identity via Rough Set Method
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.
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