A Markov random field based multi-band model

被引：0
|
作者：
Gravier, G [1 ]
Sigelle, M [1 ]
Chollet, G [1 ]
机构：
[1] ENST, TSI, F-75634 Paris 13, France
来源：
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI | 2000年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
An extension of the multi-band model including inter-band control of time asynchrony is described. It is based on the framework of Markov random fields. The law of the speech process is given by a parametric Gibbs distribution and a maximum likelihood parameter estimation algorithm is developed. This random field model is applied to isolated word recognition. It is shown that similar performances are obtained with the new model and with standard HMM techniques in the mono-band case. In the multi-band case, it is shown that the recognition rate decreases when the number of band is increased but that modeling inter-band synchrony limits the performance decrease.
引用
收藏
页码：1619 / 1622
页数：4
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