Gender classification in speech recognition using fuzzy logic and neural network
المؤلفون المشاركون
Meena, Kunjithapatham
Subramaniam, Kulumani
Gomathy, Muthusamy
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 10، العدد 5 (30 سبتمبر/أيلول 2013)8ص.
الناشر
تاريخ النشر
2013-09-30
دولة النشر
الأردن
عدد الصفحات
8
التخصصات الرئيسية
الموضوعات
الملخص EN
nowadays classification of gender is one of the most important processes in speech processing.
Usually gender classification is based on considering pitch as feature.
The pitch value of female is higher than the male.
In most of the recent research works gender classification process is performed using the abovementioned condition.
In some cases the pitch value of male is higher and also pitch of some female is low, in that case this classification does not produce the exact required result.
By considering the aforementioned problem we have here proposed a new method for gender classification method which considers three features.
The new method uses fuzzy logic and neural network to identify the gender of the speaker.
To train fuzzy logic and neural network, training dataset is generated by using the above three features.
Then mean value is calculated for the obtained result from fuzzy logic and neural network.
By using this threshold value, the proposed method identifies the speaker belongs to which gender.
The implementation result shows the performance of the proposed technique in gender classification.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Meena, Kunjithapatham& Subramaniam, Kulumani& Gomathy, Muthusamy. 2013. Gender classification in speech recognition using fuzzy logic and neural network. The International Arab Journal of Information Technology،Vol. 10, no. 5.
https://search.emarefa.net/detail/BIM-311868
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Meena, Kunjithapatham…[et al.]. Gender classification in speech recognition using fuzzy logic and neural network. The International Arab Journal of Information Technology Vol. 10, no. 5 (Sep. 2013).
https://search.emarefa.net/detail/BIM-311868
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Meena, Kunjithapatham& Subramaniam, Kulumani& Gomathy, Muthusamy. Gender classification in speech recognition using fuzzy logic and neural network. The International Arab Journal of Information Technology. 2013. Vol. 10, no. 5.
https://search.emarefa.net/detail/BIM-311868
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references.
رقم السجل
BIM-311868
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر