Some solution to the missing feature problem in data classification, with application to noise robust ASR
暂无分享,去创建一个
[1] S. Hanson,et al. Some Solutions to the Missing Feature Problem in Vision , 1993 .
[2] Hans-Günter Hirsch,et al. Noise estimation techniques for robust speech recognition , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[3] Volker Tresp,et al. Some Solutions to the Missing Feature Problem in Vision , 1992, NIPS.
[4] Jon Barker,et al. Modelling the recognition of spectrally reduced speech , 1997, EUROSPEECH.
[5] Richard Lippmann,et al. Using missing feature theory to actively select features for robust speech recognition with interruptions, filtering and noise KN-37 , 1997, EUROSPEECH.
[6] Martin Cooke,et al. Modelling auditory processing and organisation , 1993, Distinguished dissertations in computer science.
[7] Michael I. Jordan,et al. Supervised learning from incomplete data via an EM approach , 1993, NIPS.
[8] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[9] D. F. Morrison,et al. Multivariate Statistical Methods , 1968 .
[10] H. B. Dwight,et al. Tables of Integrals and Other Mathematical Data , 1934 .
[11] Hervé Bourlard,et al. Multi-Stream Speech Recognition , 1996 .