Penalized maximum-likelihood estimation, the Baum-Welch algorithm, diagonal balancing of symmetric matrices and applications to training acoustic data

被引：4

作者：

Michelli, CA

Olsen, P ^{[1
]}

机构：

[1] IBM Corp, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA

[2] SUNY Albany, Dept Math & Stat, Albany, NY 12222 USA

来源：

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS | 2000年 / 119卷 / 1-2期

关键词：

D O I：

10.1016/S0377-0427(00)00385-X

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We study penalized maximum-likelihood estimation methods for nonparametric density estimation and propose their use in training acoustic models for speech recognition. Several algorithms for the numerical solution of the optimization problems that we encounter are proposed and analyzed. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：301 / 331

页数：31

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