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.
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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
Hızlı Erişim
Metrikler
Scopus Atıf
8
TEŞV Puanı
27,00
Yazar Sayısı
3