Maximizing information content in feature extraction

Institute of Electrical and Electronics Engineers (IEEE) - Tập 13 Số 4 - Trang 512-519 - 2005
M. Padmanabhan1, S. Dharanipragada2
1Renaissance Technol., East Setauket, NY, USA
2[Citadel Investment Group LLC, Chicago, IL, USA]

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Tài liệu tham khảo

saon, 2000, maximum likelihood discriminant feature spaces, Proc ICASSP

10.1109/TSA.2002.804541

10.1109/ICASSP.1998.675340

10.1109/ICASSP.1995.479268

10.1109/PROC.1973.9030

chen, 1998, clustering via the bayesian information criterion with applications in speech recognition, Proc ICASSP, 2, 645

yapanel, 0, perceptual mvdr-based cepstral coefficients (pmcc's) for noise robust speech recognition, Proc ICASSP 2003

10.1121/1.399423

fukunaga, 0, Introduction to statistical pattern recognition

10.1109/ICASSP.2001.940829

gopinath, 1998, maximum likelihood linear transformation, Proc ICASSP

10.1016/S0167-6393(98)00061-2

10.1109/TASSP.1980.1163420

gales, 1999, semi-tied covariance matrices, Proc ICASSP

padmanabhan, 0, spectral peak tracking and its use in speech recognition, Proc ICSLP 2000