Acoustic Feature Transformation Based on Discriminant Analysis Preserving Local Structure for Speech Recognition
暂无分享,去创建一个
[1] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[2] David G. Stork,et al. Pattern Classification , 1973 .
[3] N. Campbell. CANONICAL VARIATE ANALYSIS—A GENERAL MODEL FORMULATION , 1984 .
[4] Sadaoki Furui,et al. Speaker-independent isolated word recognition using dynamic features of speech spectrum , 1986, IEEE Trans. Acoust. Speech Signal Process..
[5] H. Ney,et al. Linear discriminant analysis for improved large vocabulary continuous speech recognition , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[6] Seiichi Nakagawa,et al. Evaluation of segmental unit input HMM , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[7] R. Tibshirani,et al. Discriminant Analysis by Gaussian Mixtures , 1996 .
[8] Andreas G. Andreou,et al. Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition , 1998, Speech Commun..
[9] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[10] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[11] George Saon,et al. Maximum likelihood discriminant feature spaces , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).
[12] Xiaofei He,et al. Locality Preserving Projections , 2003, NIPS.
[13] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[14] Pietro Perona,et al. Self-Tuning Spectral Clustering , 2004, NIPS.
[15] Takeo Kanade,et al. Multimodal oriented discriminant analysis , 2005, ICML.
[16] Satoshi Nakamura,et al. CENSREC-3: An Evaluation Framework for Japanese Speech Recognition in Real Car-Driving Environments , 2006, IEICE Trans. Inf. Syst..
[17] Masashi Sugiyama,et al. Local Fisher discriminant analysis for supervised dimensionality reduction , 2006, ICML.
[18] Seiichi Nakagawa,et al. Selection of optimal dimensionality reduction method using chernoff bound for segmental unit input HMM , 2007, INTERSPEECH.
[19] Seiichi Nakagawa,et al. Generalization of Linear Discriminant Analysis used in Segmental Unit Input HMM for Speech Recognition , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[20] Masashi Sugiyama,et al. Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis , 2007, J. Mach. Learn. Res..
[21] Seiichi Nakagawa,et al. Linear Discriminant Analysis Using a Generalized Mean of Class Covariances and Its Application to Speech Recognition , 2008, IEICE Trans. Inf. Syst..