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JCR 2016
جستجوی مقالات
پنجشنبه 30 بهمن 1404
Iranian Journal of Fuzzy Systems
، جلد ۱۱، شماره ۱، صفحات ۴۹-۷۳
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Developing Fuzzy Models for Estimating the Quality of VoIP
چکیده انگلیسی مقاله
This paper presents a novel method for modeling the one-way quality prediction of VoIP, non-intrusively. Intrusive measures of voice quality suffer from common deficiency that is the need of reference signal for evaluating the quality of voice. Owing to this lack, a great deal of effort has been recently devoted for modeling voice quality prediction non-intrusively according to quality degradation parameters, while among the past proposed methods, intelligent techniques have been remarkably successful due to their abilities for modeling the non-linear processes. The present study introduces a procedure for developing fuzzy models, employing Genetic Algorithm (GA) and Adaptive Neuro-Fuzzy Inference System (ANFIS). The proposed method is able to generate optimized fuzzy models in terms of accuracy and complexity. The efficiency of this procedure is compared with and contrasted against 13 regression methods implemented in KEEL as one machine learning tool. Moreover, several experimental results are performed over voice data from 10 different languages. In order to complete the experiment, a comprehensive statistical comparison is also drawn between our proposed method and other previous ones. The results apparently show the efficiency and applicability of this novel method in terms of generating accurate and simple fuzzy models for estimating the VoIP quality.
کلیدواژههای انگلیسی مقاله
نویسندگان مقاله
f راهداری |
computer and information technology department, institute of sci- ence and high technology and environmental sciences, graduate university of ad- vanced technology, kerman, iran
m افتخاری |
computer engineering department, shahid bahonar university of kerman, kerman, iran
سازمان اصلی تایید شده
: دانشگاه شهید باهنر (Shahid bahonar university)
a اکبری |
computer engineering department, iran university of science and tech- nology, tehran, iran
m زینل خانی |
computer engineering department, shahid bahonar university of kerman, kerman, iran
سازمان اصلی تایید شده
: دانشگاه شهید باهنر (Shahid bahonar university)
نشانی اینترنتی
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en
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