An Algorithm for Smoker Detection
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 t...
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| Format: | Article |
| Language: | English |
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Mosul University
2013-03-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_163441_90c11e78047b912fb8aeb50642f1b3f2.pdf |
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| _version_ | 1850196511204311040 |
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| author | Hiba Youni Saleem Omar Mafaz Alwahhab Enas Mqdad |
| author_facet | Hiba Youni Saleem Omar Mafaz Alwahhab Enas Mqdad |
| author_sort | Hiba Youni |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4604654c4b8a43b3887428afa5a0292b |
| institution | OA Journals |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2013-03-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-4604654c4b8a43b3887428afa5a0292b2025-08-20T02:13:26ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902013-03-01101617410.33899/csmj.2013.163441163441An Algorithm for Smoker DetectionHiba Youni0Saleem Omar1Mafaz Alwahhab2Enas Mqdad3College of Computer Sciences and Mathematics University of Mosul, Mosul, IraqCollege of Computer Sciences and Mathematics University of Mosul, Mosul, IraqCollege of Computer Sciences and Mathematics University of Mosul, Mosul, IraqCollege of Computer Sciences and Mathematics University of Mosul, Mosul, IraqIn 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.https://csmj.mosuljournals.com/article_163441_90c11e78047b912fb8aeb50642f1b3f2.pdfformant frequenciessampling ratelinear predictive codingd1 distance |
| spellingShingle | Hiba Youni Saleem Omar Mafaz Alwahhab Enas Mqdad An Algorithm for Smoker Detection Al-Rafidain Journal of Computer Sciences and Mathematics formant frequencies sampling rate linear predictive coding d1 distance |
| title | An Algorithm for Smoker Detection |
| title_full | An Algorithm for Smoker Detection |
| title_fullStr | An Algorithm for Smoker Detection |
| title_full_unstemmed | An Algorithm for Smoker Detection |
| title_short | An Algorithm for Smoker Detection |
| title_sort | algorithm for smoker detection |
| topic | formant frequencies sampling rate linear predictive coding d1 distance |
| url | https://csmj.mosuljournals.com/article_163441_90c11e78047b912fb8aeb50642f1b3f2.pdf |
| work_keys_str_mv | AT hibayouni analgorithmforsmokerdetection AT saleemomar analgorithmforsmokerdetection AT mafazalwahhab analgorithmforsmokerdetection AT enasmqdad analgorithmforsmokerdetection AT hibayouni algorithmforsmokerdetection AT saleemomar algorithmforsmokerdetection AT mafazalwahhab algorithmforsmokerdetection AT enasmqdad algorithmforsmokerdetection |