@inproceedings{d8b4ee399071456f817a67675b83197c,
title = "İstatistiksel Sinir Aǧlari İle Konu{\c s}ma/M{\"u}zik Siniflandirma",
abstract = "This paper represents a framework for speech/music classification by using statistical neural networks. Zero Crossing Rate, Root Mean Square Power and Spectral Centroid were used as features. A dataset include 150 audio instances were labeled manually and 105 of them were used to train different networks which are PNN, GRNN and RBF. The remaining of the dataset were used as test item. Training and test performances of these three network types were discussed.",
author = "B{\"u}lent Bolat and {\"U}nal K{\"u}{\c c}{\"u}k",
year = "2004",
language = "T{\"u}rk{\c c}e",
isbn = "0780383184",
series = "Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004",
pages = "227--229",
editor = "B. Gunsel",
booktitle = "Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004",
note = "Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004 ; Conference date: 28-04-2004 Through 30-04-2004",
}