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AL-Rafidain Journal of Computer Sciences and Mathematics

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An Algorithm for Smoker Detection

    Hiba Adreese Youni Saleem Omar Mafaz Abd Alwahhab Enas Mqdad

AL-Rafidain Journal of Computer Sciences and Mathematics, 2013, Volume 10, Issue 1, Pages 61-74
10.33899/csmj.2013.163441

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Abstract

In this research an algorithm was suggested for studying speech signal properties for both smokers and non smokers then verificate that the person smoker or not based on his speech signal. A data base that contain 30 speech signals 15 belong to smoker and 15 belong to non smokers for male only.
In this algorithm formant frequencies such as f1, f2 were adopted as  characteristic properties for speech signal for splitting  between two classes which it calculate using lpc algorithm.
The algorithm consist of two stages:
♦ Data base preparation stage
♦ Speaker state classification stage
The absolute, eclideance and d1  distance were adopted as measures for evaluating the performance of the algorithm and it gave convergece results.
Keywords:
    formant frequencies Sampling Rate Linear Predictive Coding D1 Distance
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(2013). An Algorithm for Smoker Detection. AL-Rafidain Journal of Computer Sciences and Mathematics, 10(1), 61-74. doi: 10.33899/csmj.2013.163441
Hiba Adreese Youni; Saleem Omar; Mafaz Abd Alwahhab; Enas Mqdad. "An Algorithm for Smoker Detection". AL-Rafidain Journal of Computer Sciences and Mathematics, 10, 1, 2013, 61-74. doi: 10.33899/csmj.2013.163441
(2013). 'An Algorithm for Smoker Detection', AL-Rafidain Journal of Computer Sciences and Mathematics, 10(1), pp. 61-74. doi: 10.33899/csmj.2013.163441
An Algorithm for Smoker Detection. AL-Rafidain Journal of Computer Sciences and Mathematics, 2013; 10(1): 61-74. doi: 10.33899/csmj.2013.163441
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