Re: speech recognition

Kevin Murphy (murphyk@cs.berkeley.edu)
Sun, 22 Nov 1998 12:39:39 -0800

@inproceedings{Zweig98,
author = "G. Zweig and S. Russell",
title = "Speech Recognition with Dynamic Bayesian Networks",
booktitle = aaai,
year = 1998,
pages = "173--180"
}

@inproceedings{Logan98,
author = "B. T. Logan and P. J. Moreno",
title = "Factorial HMMs for Acoustic Modeling" ,
booktitle = "Proc. IEEE Intnl. Conf. on Acoustics, Speech and Signal
Processing",
year = 1998
}

The following paper can be thought of as a way of learning the structure
of the connections between the observable nodes of a DBN in a
discriminative way. There is a single hidden node, and the observables
correspond to components of the acoustic feature vector, e.g., mel
cepstral coefs.

@inproceedings{Bilmes98,
author = "J. Bilmes",
title = "Data-driven extensions to {HMM} statistical dependencies",
booktitle = "Intl. Conf. Speech Lang. Proc.",
year = 1998
}