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Independent component analysis for separation of speech mixtures : a comparison among thirty algorithms
المؤلف
المصدر
The Iraqi Journal of Electrical and Electronic Engineering
العدد
المجلد 11، العدد 1 (30 يونيو/حزيران 2015)، ص ص. 1-9، 9ص.
الناشر
تاريخ النشر
2015-06-30
دولة النشر
العراق
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Vast number of researches deliberated the separation of speech mixtures due to the importance of this field of research.
Whereas its applications became widely used in our daily life; such as mobile conversation, video conferences, and other distant communications.
These sorts of applications may suffer from what is well known the cocktail party problem.
Independent component analysis (ICA) has been extensively used to overcome this problem and many ICA algorithms based on different techniques have been developed in this context.
Still coming up with some suitable algorithms to separate speech mixed signals into their original ones is of great importance.
Hence, this paper utilizes thirty ICA algorithms for estimating the original speech signals from mixed ones, the estimation process is carried out with the purpose of testing the robustness of the algorithms once against a different number of mixed signals and another against different lengths of mixed signals.
Three criteria namely Spearman correlation coefficient, signal to interference ratio, and computational demand have been used for comparing the obtained results.
The results of the comparison were sufficient to signify some algorithms which are appropriate for the separation of speech mixtures.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Sayigh, Ali. 2015. Independent component analysis for separation of speech mixtures : a comparison among thirty algorithms. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 11, no. 1, pp.1-9.
https://search.emarefa.net/detail/BIM-583644
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Sayigh, Ali. Independent component analysis for separation of speech mixtures : a comparison among thirty algorithms. The Iraqi Journal of Electrical and Electronic Engineering Vol. 11, no. 1 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-583644
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Sayigh, Ali. Independent component analysis for separation of speech mixtures : a comparison among thirty algorithms. The Iraqi Journal of Electrical and Electronic Engineering. 2015. Vol. 11, no. 1, pp.1-9.
https://search.emarefa.net/detail/BIM-583644
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 8-9
رقم السجل
BIM-583644
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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