Product of Gaussians for speech recognition
Tài liệu tham khảo
Airey, S.S., 2002. Products of Gaussians. Master’s thesis, University of Cambridge.
Bourlard, H., Dupont, S., 1996. A new ASR approach based on independent processing and combination of partial frequency bands. In: Proceedings ICSLP, pp. 422–425.
Brown, A.D., Hinton, G.E., 2000. Products of hidden Markov models. Technical Report GCNU TR 2000-08, Gatsby Computational Neuroscience Unit.
Dempster, 1977, Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, 39, 1
Gales, M.J.F., Airey, S.S., 2003. Product of Gaussians for Speech Recognition. Technical Report CUED/F-INFENG/TR458, Cambridge University, Available from: <svr-www.eng.cam.ac.uk/~mjfg>.
Gales, 2002, Transformation streams and the HMM error model, Computer Speech and Language, 16, 225, 10.1006/csla.2002.0193
Gales, 1996, Robust speech recognition using parallel model combination, IEEE Transactions Speech and Audio Processing, 4, 352, 10.1109/89.536929
Ghahramani, 1997, Factorial hidden Markov models, Machine Learning, 29, 245, 10.1023/A:1007425814087
Hain, T., Woodland, P.C., Evermann, G., Povey, D., 2000. The CU-HTK March 2000 HUB5E transcription system. In: Proceedings of the Speech Transcription Workshop.
Hinton, G., 1999. Products of experts. In: Proceedings of ICANN.
Mak, B., Bocchieri, E., 1997. Subspace distribution clustering for continuous observation density hidden Markov models. In: Proceedings Eurospeech, pp. 107–110.
Nock, H., Young, S., 2000. Loosely coupled HMMs for ASR. In: Proceedings ICSLP 2000.
Olsen, P.A., Gopinath, R.A., 2002. Modeling inverse covariance matrices by basis expansion. In: Proceedings ICASSP.
Rosti, A.-V.I., Gales, M.J.F., 2001. Generalised linear Gaussian models. Technical Report CUED/F-INFENG/TR420, Cambridge University, Available from: <svr-www.eng.cam.ac.uk/~mjfg>.
Roweis, 1999, A unifying review of linear Gaussian models, Neural Computation, 11, 305, 10.1162/089976699300016674
Rubin, 1982, EM algorithms for ML factor analysis, Psychometrika, 47, 69, 10.1007/BF02293851
Saul, 1999, Mixed memory Markov models, Machine Learning, 37, 75, 10.1023/A:1007649326333
Tipping, 1999, Mixtures of probabilistic principal component analyzers, Neural Computation, 11, 435, 10.1162/089976699300016728
Williams, C.K.I., Agakov, F.V., Felderhof, S.N., 2001. Products of Gaussians. In: Proceeding of NIPS.
Young, 1996
Zweig, G., 1999. Speech recognition with dynamic Bayesian networks. Ph.D. thesis, ICSI, UC Berkeley.
