Dynamic Programming and Statistical Modelling in Automatic Speech Recognition
作者:
RussellM. J.,
MooreR. K.,
TomlinsonM. J.,
期刊:
Journal of the Operational Research Society
(Taylor Available online 1986)
卷期:
Volume 37,
issue 1
页码: 21-30
ISSN:0160-5682
年代: 1986
DOI:10.1057/jors.1986.4
出版商: Taylor&Francis
数据来源: Taylor
摘要:
AbstractThis article describes the methods which form the basis of contemporary automatic speech recognition systems. The two most prominent algorithms, dynamic time-warping and hidden Markov modelling, are described and compared. Particular attention is given to the role of dynamic programming in either approach.
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