Speaker-independent word speech recognition using the blurred orientation patterns obtained from the vector field of spectrum
Speaker-independent word speech recognition using the blurred orientation patterns obtained from the vector field of spectrum
复制标题
使用从频谱矢量场获得的模糊方向模式进行与说话人无关的单词语音识别
DOI：
10.1109/icpr.1988.28253
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发表时间：
1988
期刊：
影响因子：
--
通讯作者：
Hiroshi Matsumura
中科院分区：
文献类型：
--
作者：
R. Oka;Hiroshi Matsumura
提出了一种语音模式并用于实现与说话者无关的单词识别系统。该算法包含两个关键概念：利用从频谱矢量场获得的称为方向特征的新颖语音特征，以及对方向模式应用模糊操作以增强和稳定音素特征。<<ETX>>
A speech pattern is proposed and used to realize a speaker-independent word recognition system. The algorithm consists of two key concepts: utilization of a novel speech feature called the orientation feature, obtained from the vector field of the spectrum, and the application of a blurring operation to the orientation pattern in order to enhance and stabilize the phonemic features.<<ETX>>