Voice Gender Recognition Using Deep Learning
Küçük Resim Yok
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Atlantis Press
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this article, a Multilayer Perceptron (MLP) deep learning model has been described to recognize voice gender. The data set have 3,168 recorded samples of male and female voices. The samples are produced by using acoustic analysis. An MLP deep learning algorithm has been applied to detect gender-specific traits. Our model achieves 96.74% accuracy on the test data set. Also the interactive web page has been built for recognition gender of voice.
Açıklama
International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA) -- DEC 18-19, 2016 -- Xiamen, PEOPLES R CHINA
Anahtar Kelimeler
Deep Learning, Voice Recognition, Multilayer Perceptron Networks
Kaynak
Proceedings Of 2016 International Conference On Modeling, Simulation And Optimization Technologies And Applications (Msota2016)
WoS Q Değeri
Scopus Q Değeri
Cilt
58
