Automatic speech recognition

被引：0
|
作者：
O'Shaughnessy, Douglas [1 ]
机构：
[1] McGill Univ, Montreal, PQ, Canada
来源：
2015 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) | 2015年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This Plenary presents automatic speech recognition ( ASR) as a task of artificial intelligence. The basis, the methodology, spectral processing, distance measures for speech, segmentation speech, spectral and temporal variability, application of Markov Models, noise robustness, Language Models for ASR, are presented.
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页码：417 / 424
页数：8
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