Application of Qualify Grey Relational Grade on Voice Recognition

Language is the straightest and the most natural way in the human communication. The application of voice recognition is getting more and more widely because of the accuracy of technology and recognition. At present, in the application of voiceprint recognition, for example, the collection of recording data of the Police can pinpoint the real criminal by making contrast. Moreover, civilian organizations can take the advantage of voice recognition to install in the gate entrance control and security guard. This paper apply “Gold Wave Software” to process the voice signals. Then, we adopt VB Program and get the parameter value of characteristics from the signals. We obtain the Grey Relational Grade by “Qualify Grey Relational Grade” and figure out the sequence of corresponsive data. Because of the advantages of lesser data and multifactor analysis in Grey Theory, the qualify Grey Relational analysis can identify the relevant results. This paper uses the advantages of Grey Theory to achieve the goal of precise voice recognition and practicable above industry application. We also expect to provide a new application grade of Grey Theory and to improve the shortage of traditional voice recognition.

並列關鍵字

Voice Recognition ； Grey Relational Grade ； Parameter Value of Characteristics

國際替代計量

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