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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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