Laryngeal Cancer Screening using Cepstral Parameters

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J Korean Soc Laryngol Phoniatr Logop > Volume 14(2); 2003 > Article

Journal of The Korean Society of Laryngology, Phoniatrics and Logopedics 2003;14(2): 110-116.

켑스트럼 파라미터를 이용한 후두암 검진

이원범¹, 전경명¹, 권순복¹, 전계록², 김수미³, 김형순³, 양병곤⁴, 조철우⁵, 왕수건¹

¹부산대학교 의과대학 이비인후과학교실²부산대학교 의과대학 의공학교실³부산대학교 전자공학과⁴동의대학교 영어영문학과⁵창원대학교 제어계측학과

Laryngeal Cancer Screening using Cepstral Parameters

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ABSTRACT

Background and Objectives
: Laryngeal cancer discrimination using voice signals is a non-invasive method that can carry out the examination rapidly and simply without giving discomfort to the patients. n appropriate analysis parameters and classifiers are developed, this method can be used effectively in various applications including telemedicine. This study examines voice analysis parameters used for laryngeal disease discrimination to help discriminate laryngeal diseases by voice signal analysis. The study also estimates the laryngeal cancer discrimination activity of the Gaussian mixture model (GMM) classifier based on the statistical modelling of voice analysis parameters.
Materials and Method
s : The Multi-dimensional voice program (MDVP) parameters, which have been widely used for the analysis of laryngeal cancer voice, sometimes fail to analyze the voice of a laryngeal cancer patient whose cycle is seriously damaged. Accordingly, it is necessary to develop a new method that enables an analysis of high reliability for the voice signals that cannot be analyzed by the MDVP. To conduct the experiments of laryngeal cancer discrimination, the authors used three types of voices collected at the Department of Otorhinorlaryngology, Pusan National University Hospital. 50 normal males voice data, 50 voices of males with benign laryngeal diseases and 105 voices of males laryngeal cancer. In addition, the experiment also included 11 voices data of males with laryngeal cancer that cannot be analyzed by the MDVP, Only monosyllabic vowel /a/ was used as voice data. Since there were only 11 voices of laryngeal cancer patients that cannot be analyzed by the MDVP, those voices were used only for discrimination. This study examined the linear predictive cepstral coefficients (LPCC) and the met-frequency cepstral coefficients (MFCC) that are the two major cepstrum analysis methods in the area of acoustic recognition.
Results
: The results showed that this met frequency scaling process was effective in acoustic recognition but not useful for laryngeal cancer discrimination. Accordingly, the linear frequency cepstral coefficients (LFCC) that excluded the met frequency scaling from the MFCC was introduced. The LFCC showed more excellent discrimination activity rather than the MFCC in predictability of laryngeal cancer.
Conclusion
: In conclusion, the parameters applied in this study could discriminate accurately even the terminal laryngeal cancer whose periodicity is disturbed. Also it is thought that future studies on various classification algorithms and parameters representing pathophysiology of vocal cords will make it possible to discriminate benign laryngeal diseases as well, in addition to laryngeal cancer.

KEY WORDS： Laryngeal cancer;Voice analysis;Screening test;Cepstral parameters;

중심 단어： 켑스트럼 변수;후두암 검진;