An Integrated Approach to Robust Speaker Identification and Speech Recognition

被引：1
|
作者：
Kwan, C. [1 ]
Yin, J. [1 ]
Ayhan, B. [1 ]
Chu, S. [1 ]
Liu, X. [1 ]
Puckett, K. [1 ]
Zhao, Y.
Ho, K. C.
Kruger, M.
Sityar, I.
机构：
[1] Signal Proc Inc, Rockville, MD 20850 USA
来源：
2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 | 2008年
关键词：
D O I：
10.1109/IJCNN.2008.4634016
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Conventional speaker identification and speech recognition algorithms cannot deal with noisy and multiple speaker environments. For example, HIM via Voice has low recognition rates if dictation is done in a noisy environment. In order to achieve high performance in speaker identification and speech recognition, we propose an integrated approach that takes every facet of the process into account. Here we summarize some preliminary results from the application of this integrated approach to robust speaker identification and speech recognition. A real-time stand-alone software prototype has been developed to evaluate the effectiveness of the approach.
引用
收藏
页码：1635 / +
页数：3
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