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TR DİZİN Özgün Makale Scopus
Identification of the English Accent Spoken in Different Countries by the k-Nearest Neighbor Method
International Journal of Intelligent Systems and Applications in Engineering 2020 Cilt 8 Sayı 4
Scopus Eşleşmesi Bulundu
8
Atıf
8
Cilt
191-194
Sayfa
🔓
Açık Erişim
Scopus Yazarları: Yavuz Selim Taspinar, Mustafa Altin, Murat Koklu
Özet
Sound is the pressure wave created by an object vibrating with a certain frequency. 3 organs are needed for the formation of voice in humans. These are lungs, vocal cords and mouth. Due to the structure of these organs and the similarity of the person with their current language, they can speak another language with different accent. A language can be spoken in different parts of the same country and in different countries. The second most widely used language in the world is English, has numerous accents around the world. In this study, it is aimed to determine which country the English accent spoken in different regions belongs to. In the dataset used, there are 330 sound samples including English accents spoken in Spain, France, Germany, Italy, England and America. Classification has been made with 12 features obtained by Mel Frequency Cepstrum Coefficients feature extraction method. k-Nearest Neighbor (kNN) were used in the classification and 87.2% success was achieved.
Anahtar Kelimeler (Scopus)
Language Region spoken Accent English
Scimago Dergi Bilgisi Otomatik ISSN Eşleştirmesi 2020 yılı verileri
International Journal of Intelligent Systems and Applications in Engineering (discontinued)
-
SJR Quartile
25
H-Index
Kategoriler: Artificial Intelligence · Computer Graphics and Computer-Aided Design · Control and Systems Engineering · Information Systems
Alanlar: Computer Science · Engineering
Ülke: Turkey · Auricle Global Society of Education and Research
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir. Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.

Anahtar Kelimeler

Language Region spoken Accent English

Makale Bilgileri

Dergi International Journal of Intelligent Systems and Applications in Engineering
ISSN 2147-6799
Yıl 2020 / 12. ay
Cilt / Sayı 8 / 4
Sayfalar 191 – 194
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks TR DİZİN
TEŞV Puanı 27,00
Yayın Dili İngilizce
Kapsam Uluslararası
Toplam Yazar 3 kişi
Erişim Türü Elektronik
Erişim Linki Makaleye Git
Alan Mühendislik Temel Alanı Bilgisayar Bilimleri ve Mühendisliği Veri Madenciliği Yapay Zeka

YÖKSİS Yazar Kaydı

Yazar Adı TAŞPINAR YAVUZ SELİM, KÖKLÜ MURAT, ALTIN MUSTAFA
YÖKSİS ID 5058009