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Survey of features extraction and classification techniques for speaker identification
المؤلفون المشاركون
al-Sultan, Ali Yaqub
Kazim, Sahar Adil
Muslim, Ahmad Badri
المصدر
Journal of Babylon University : Journal of Applied and Pure Sciences
العدد
المجلد 28، العدد 3 (30 سبتمبر/أيلول 2020)، ص ص. 43-54، 12ص.
الناشر
تاريخ النشر
2020-09-30
دولة النشر
العراق
عدد الصفحات
12
التخصصات الرئيسية
علم الاجتماع و الأنثروبولوجيا و الخدمة الاجتماعية
الملخص EN
Speech processing is more common day by day to provide enormous safety.
the speech for the purpose of authentication is commonly used.
recognition of the speaker is the method that can check and recognize the speaker.
the scheme of speech recognition is distinct from the scheme of speaker recognition.
recognition of speakers is commonly used in sectors, hospitals, laboratories, etc.
its benefits are safer, easier to implement, more user-friendly.
speaker identification method is one of the most commonly used techniques for the region where safety is very crucial.
this article presents an overview of various methods that can be used to recognize speakers’ systems, the feature extraction techniques such as Linear Predictive Coding (LPC), Linear Predictive Cepstral Coefficients (LPCC), Unique Mapped Real Transform (UMRT), Real Cepstral Coefficients (RCC), “Mel-frequency Cepstrum” (MFCC), in addition to various classification techniques such as “Gaussian mixture model (GMM)”, “Dynamic Time Warping (DTW)”, Support Vector Machine (SVM), Neural Network (NN), “Vector Quantization” (VQ).
The primary purpose of is to explain the common speaker recognition methods.
The obtained results are that, MFCC is chosen for high efficiency and low complexity.
and GMM is helpful in classifying less memory and less planning and efficient test results.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kazim, Sahar Adil& Muslim, Ahmad Badri& al-Sultan, Ali Yaqub. 2020. Survey of features extraction and classification techniques for speaker identification. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 28, no. 3, pp.43-54.
https://search.emarefa.net/detail/BIM-1385129
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kazim, Sahar Adil…[et al.]. Survey of features extraction and classification techniques for speaker identification. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 28, no. 3 (2020), pp.43-54.
https://search.emarefa.net/detail/BIM-1385129
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kazim, Sahar Adil& Muslim, Ahmad Badri& al-Sultan, Ali Yaqub. Survey of features extraction and classification techniques for speaker identification. Journal of Babylon University : Journal of Applied and Pure Sciences. 2020. Vol. 28, no. 3, pp.43-54.
https://search.emarefa.net/detail/BIM-1385129
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 53-54
رقم السجل
BIM-1385129
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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