Pitch-based cepstral features for gender classification in noisy environments

Author： Kumar Pawan   Chandra Mahesh  

Publisher： Inderscience Publishers

ISSN： 1748-0698

Source： International Journal of Signal and Imaging Systems Engineering, Vol.6, Iss.3, 2013-06, pp. : 138-142

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Production of quasi-2D graphene nanosheets through the solvent exfoliation of pitch-based carbon fiber

By YeonYoungju   Mi Yeon Lee   Sang Youl Kim   LeeJihoon   KimBongsoo   ParkByoungnam   InInsik  

Nanotechnology, Vol. 26, Iss. 37, 2015-09 ,pp. : 375602-375610

IOP Publishing

Access to resources Recommend Favorite

Segmentation-Based PolSAR Image Classification Using Visual Features: RHLBP and Color Features

By Cheng Jian   Ji Yaqi   Liu Haijun  

Remote Sensing, Vol. 7, Iss. 5, 2015-05 ,pp. : 6079-6106

MDPI

Access to resources Recommend Favorite

Cross-Domain Ground-Based Cloud Classification Based on Transfer of Local Features and Discriminative Metric Learning

By Zhang Zhong   Li Donghong   Liu Shuang   Xiao Baihua   Cao Xiaozhong  

Remote Sensing, Vol. 10, Iss. 1, 2017-12 ,pp. : 8-8

MDPI

Access to resources Recommend Favorite

Empirical investigation of wireless sensor network performance in noisy environments

By Kiyang Silvanus Teneng   Zyl Robert Van  

Journal of Engineering, Design and Technology, Vol. 12, Iss. 1, 2014-02 ,pp. : 29-38

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Classification of Vessels in Single-Pol COSMO-SkyMed Images Based on Statistical and Structural Features

By Wu Fan   Wang Chao   Jiang Shaofeng   Zhang Hong   Zhang Bo  

Remote Sensing, Vol. 7, Iss. 5, 2015-05 ,pp. : 5511-5533

MDPI

Access to resources Recommend Favorite