Adaptive template method for speech recognition

Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop Pub Date : 1992-08-31 DOI:10.1109/NNSP.1992.253703

Y. Liu, Y. Lee, H. Chen, G. Sun

引用次数: 1

Abstract

An adaptive template method for pattern recognition is proposed. The template adaptation algorithm is derived based on minimizing the classification error of the classifier. The authors have applied this method to a multispeaker English E-set recognition experiment and achieved a 90.38% average recognition rate with only one template for each letter. This indicates that the derived templates are able to capture the speaker-invariant features of speech signals.<>

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语音识别的自适应模板方法

提出了一种模式识别的自适应模板方法。基于最小化分类器的分类误差，推导出模板自适应算法。将该方法应用于多语英语e集识别实验，在每个字母只有一个模板的情况下，平均识别率达到90.38%。这表明导出的模板能够捕获语音信号的说话人不变性特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop

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