Morris A C.[J].Cooke M, Green P. Some solutions to the missing feature problem in data classification, with application to noise robust ASR. Proc. ICASSP98, Seattle.1998,:-[2]Vizinho A, Green P, Cooke M, Josifovski L. Missing data theory, spectral subtraction and signalto-noise estimation for robust ASR: An integrated study[J].Eurospeech99, Budapest.1999, vol.5:2407-2410[3]Cooke M, Green P, Josifovski L, Vizinho A. Robust automatic speech recognition with missing and unreliable acoustic data[J].Speech Communication.2001, 34(3):267-285[4]Raj B, Seltzer M, Stern R. Reconstruction of damaged spectrographic features for robust speech recognition[J].In Proceedings ICSLP00, Beijing, China, October.2000, vol.1:375-360[5]Raj B. Reconstruction of incomplete spectrograms for robust speech recognition. [Ph.D Thesis],ECE Department, Carnegie Mellon University, April, 2000.[6]Rabiner L R, Juang B H. Fundamentals of Speech Recognition. Prentice-Hall Press, 1993, Ch.6:321-389.[7]Steve Young, Dan Kershaw, Julian Odell, Dave Ollason, Valtcho Valtchev, Phil Woodland. The HTK Book (for HTK Version 3.0), Microsoft Corporation, 2000.
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