کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
5124208 1378440 2017 8 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
Investigation of the Effects of Speech Signal Length on Vocal Disorder Sorting Done Via Dynamic Pattern Modeling
ترجمه فارسی عنوان
بررسی تأثیر طول سیگنال گفتار بر اختلالات آوایی توسط مرتبسازی از طریق مدلسازی الگوهای پویا
کلمات کلیدی
اختلال آوازی، مدل سازی پویا، مدل مخفی مارکف، بسته ویوله، طبقه بندی،
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی بیماری های گوش و جراحی پلاستیک صورت
چکیده انگلیسی

SummaryObjectivesDevelopment of a noninvasive method for separating different vocal fold diseases is an important issue concerning vocal analysis. Due to the time variations along a pathologic vocal signal, application of dynamic pattern modeling tools is expected to help in the detection of defects that occur in the speech production mechanism.Materials and MethodsIn the present study, the hidden Markov model, which is a state space model, is employed to sort some of the vocal diseases. Moreover, this research mainly investigates the effects of the processed vocal signal lengths on the mentioned sorting task. To this end, the signal lengths of 1, 3, and 5 seconds of different disorders are used.ResultsThe experimental results show that some pathologic conditions in vocal folds such as cyst, false vocal cord, and mass are more evident in continued voice production, and the recognition accuracies gained via dynamic modeling of pathologic voice signals with more lengths are considerably improved.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Voice - Volume 31, Issue 4, July 2017, Pages 515.e1-515.e8
نویسندگان
, , ,