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BASED ON THE SUB-SYLLABLE FRAMEWORK FOR MANDARIN RECOGNITION

机译:基于子音节框架的普通话识别

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摘要

This paper proposed a new system design for Mandarin base-syllable recognition with two major features. Firstly, we made use of the sub-syllabic parts that form the Mandarin syllables, namely, the 21 INITIALS and 38 FINALs, as the basic speech units for recognition. Compared to the systems that used the set of 408 whole-syllables, the proposed system reduces the amount of speech units to less than 15%. Secondary, to develop recognition algorithms with higher efficiency, in addition to the commonly used statistical pattern recognition approach, we incorporate the concept of acoustic-phonetic approach to make full use of our knowledge of the Mandarin syllable structure and sound classification. Experimental results showed that the proposed system has advantages of improved accuracy rate and significant saving of computation time, memory space, and the amount of the required training data for speaker adaptation.
机译:本文提出了一种具有两个主要特点的汉语普通话音节识别新系统设计。首先,我们将构成普通话音节的子音节部分,即21个初始音节和38个最后音节,作为识别的基本语音单元。与使用408个完整音节的系统相比,该系统将语音单元的数量减少到15%以下。其次,除了常用的统计模式识别方法之外,为了开发更高效率的识别算法,我们结合了声学方法的概念,以充分利用我们对普通话音节结构和声音分类的了解。实验结果表明,该系统具有提高准确率,显着节省计算时间,存储空间以及说话人自适应所需训练数据量的优点。

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