FEATURE SELECTION FOR HYPERNASALITY DETECTION USING PCA, LDA, KERNEL PCA AND GREEDY KERNEL PCA
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[1] A Boothroyd,et al. Assessment of nasalization in the speech of deaf children. , 1976, Journal of speech and hearing research.
[2] Bayya Yegnanarayana,et al. Formant extraction from group delay function , 1991, Speech Commun..
[3] Václav Hlavác,et al. Greedy Algorithm for a Training Set Reduction in the Kernel Methods , 2003, CAIP.
[4] I. Jolliffe. Principal Component Analysis , 2002 .
[5] Tarun Pruthi. Analysis, vocal-tract modeling and automatic detection of vowel nasalization , 2007 .
[6] M. Ramasubba Reddy,et al. Acoustic Analysis and Detection of Hypernasality Using a Group Delay Function , 2007, IEEE Transactions on Biomedical Engineering.
[7] Jesús Francisco Vargas-Bonilla,et al. Automatic Detection of Hypernasality in Children , 2011, IWINAC.
[8] O. Fujimura,et al. Sweep-tone measurements of vocal-tract characteristics. , 1971, The Journal of the Acoustical Society of America.
[9] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[10] Charu C. Aggarwal,et al. On the Surprising Behavior of Distance Metrics in High Dimensional Spaces , 2001, ICDT.
[11] Jesús Francisco Vargas-Bonilla,et al. Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection , 2011, INTERSPEECH.
[12] G. Castellanos,et al. Acoustic Speech Analysis for Hypernasality Detection in Children , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[13] Hema A. Murthy,et al. The modified group delay function and its application to phoneme recognition , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[14] Mostefa Mesbah,et al. IF estimation for multicomponent signals using image processing techniques in the time-frequency domain , 2007, Signal Process..