An orthogonal least square approach to select features of infant cry with asphyxia
暂无分享,去创建一个
[1] K. Michelsson,et al. Phonation in the newborn, infant cry. , 1999, International journal of pediatric otorhinolaryngology.
[2] Thomas S. Huang,et al. Feature analysis and selection for acoustic event detection , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[3] Örjan Ekeberg,et al. Precision grip force dynamics: a system identification approach , 2000, IEEE Transactions on Biomedical Engineering.
[4] M. I. Yusof,et al. Nonlinear system identification for a Dc motor using NARMAX approach , 2003, Asian Conference on Sensors, 2003. AsiaSense 2003..
[5] Xiangjian He,et al. Classification Techniques in Pattern Recognition , 2005 .
[6] John H. L. Hansen,et al. Discrete-Time Processing of Speech Signals , 1993 .
[7] Hishamuddin Jamaluddin,et al. ORTHOGONAL LEAST SQUARE ALGORITHM AND ITS APPLICATION FOR MODELLING SUSPENSION SYSTEM , 2001 .
[8] Orion F. Reyes-Galaviz,et al. A System for the Processing of Infant Cry to Recognize Pathologies in Recently Born Babies with Neural Networks , 2004 .
[9] G. Várallyay. The melody of crying. , 2007, International journal of pediatric otorhinolaryngology.
[10] Saifur Rahman,et al. SPEAKER IDENTIFICATION USING MEL FREQUENCY CEPSTRAL COEFFICIENTS , 2004 .
[11] Rohilah Sahak,et al. Classification of Infant Cries with Asphyxia Using Multilayer Perceptron Neural Network , 2010, 2010 Second International Conference on Computer Engineering and Applications.