Covariance Updates for Discriminative Training by Constrained Line Search

P. Bell; S. King

Covariance Updates for Discriminative Training by Constrained Line Search

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

We investigate the recent Constrained Line Search algorithm for discriminative training of HMMs and propose an alternative formula for variance update. We compare the method to standard techniques on a phone recognition task.

Original language	English
Title of host publication	Proc. Interspeech
Publication status	Published - Sept 2008

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discAccepted author manuscript, 83 KB

Streamed models for automatic speech recognition (EPSRC Advanced Research Fellowship)
King, S.
EPSRC
1/01/05 → 31/12/09
Project: Research

Cite this

@inproceedings{d36e67445a6d41fdb91bc2a5741896ff,

title = "Covariance Updates for Discriminative Training by Constrained Line Search",

abstract = "We investigate the recent Constrained Line Search algorithm for discriminative training of HMMs and propose an alternative formula for variance update. We compare the method to standard techniques on a phone recognition task.",

author = "P. Bell and S. King",

year = "2008",

month = sep,

language = "English",

booktitle = "Proc. Interspeech",

}

TY - GEN

T1 - Covariance Updates for Discriminative Training by Constrained Line Search

AU - Bell, P.

AU - King, S.

PY - 2008/9

Y1 - 2008/9

N2 - We investigate the recent Constrained Line Search algorithm for discriminative training of HMMs and propose an alternative formula for variance update. We compare the method to standard techniques on a phone recognition task.

AB - We investigate the recent Constrained Line Search algorithm for discriminative training of HMMs and propose an alternative formula for variance update. We compare the method to standard techniques on a phone recognition task.

M3 - Conference contribution

BT - Proc. Interspeech

ER -

Covariance Updates for Discriminative Training by Constrained Line Search

Abstract / Description of output

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Projects

Streamed models for automatic speech recognition (EPSRC Advanced Research Fellowship)

Cite this