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Vowel Recognition Method for a Sequence of Vowels Using an Associative Model

机译:基于关联模型的元音序列元音识别方法

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摘要

In continuous speech, the feature of phoneme is ambiguous because of the coarticulation effect, which causes a difficulty of an automatic recognition of continuous speech. In the other hand, there is no coarticulation problem in human auditory.In order to make the recognition easier, we propose an associative model of the human auditory process. It is assumed that the observed phoneme is associated with the acoustic characteristics of the three points (preceding, observed, and following points), and the association is linear.The model was tested and it was found to be effective in a high noise condition. It was also found that the elements of the memory matrix were formed to clear the distinction between similar vowels, and that the spectrum reproduction error was sufficiently small.
机译:在连续语音中,由于共发音效应,音素的特征是模棱两可的,这导致自动识别连续语音的困难。另一方面,在人类听觉中没有共鸣问题。为了使识别更加容易,我们提出了人类听觉过程的关联模型。假设观察到的音素与三个点(前,后和后三个点)的声学特性相关联,并且该关联是线性的。对模型进行了测试,发现在高噪声条件下有效。还发现,形成存储矩阵的元素以清除相似元音之间的区别,并且频谱再现误差足够小。

著录项

  • 作者

    高良 富夫; Takara Tomio;

  • 作者单位
  • 年度 1987
  • 总页数
  • 原文格式 PDF
  • 正文语种 jpn
  • 中图分类

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