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音节特征
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  syllabic features
     On the Application Sphere of Reduplicated Verbs from the Perspective of Syllabic Features
     从音节特征看动词重叠的适用范围
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  相似匹配句对
     The Syllabic Features of the Chinese New Words
     当代汉语新词语的音节形式特征
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     On the Application Sphere of Reduplicated Verbs from the Perspective of Syllabic Features
     从音节特征看动词重叠的适用范围
短句来源
     (2)essential features;
     基本特征;
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     the characteristics of inclusions;
     包体特征;
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Reduplicated verbs have their own syllabic features.By comparing the syllabic features of reduplicated verbs in different genres of writing and by finding and counting the pragmatic reality of different genres of writing,we conclude that reduplicated verbs are applicable to the genre of Baihua.

动词重叠有自己的音节特征 ,从音节特征入手 ,通过对不同文体音节特征的对比和对不同文体作品语用实际的调查统计 ,确定白话体作品是动词重叠的适用范围

Besides "syllable", there is "haku (mora)" that indicates the length of speech-sound in Japanese. However, the definitions of syllable and haku are often confused with each other. This paper, by comparing the features of Chinese syllables and Japanese syllables, attempts to indicate that the "haku (=mora)" in Japanese shows more exactly the features of Japanese speech-sound. The "/N/", "/R/" and "/Q/" in Japanese are hakus instead of syllables.

日语除了“音节”概念外还有“拍 (=モ ラ )”表示音长的概念 ,两者定义时常被混淆 ,本文通过中日音节特征的比较 ,力图说明日语的“拍 (=モ ラ )”更能体现日语语音特色。日语中的“拨音”、“长音”、“促音”是拍节而不是音节。

In Chinese speech recognition, the speech recognition ratio of continuous large vocabulary is comparatively poor. If speech sound of continuous large vocabulary can be automatically divided into segments of single syllable, the recognition ratio of system can be raised. How to make automatic segmentation of syllable in the recognition of speech sound? First of all, We should find out the features of Chinese speech syllable. Synthesizing current research achevements of Chinese syllabic feature with thorough comparison...

In Chinese speech recognition, the speech recognition ratio of continuous large vocabulary is comparatively poor. If speech sound of continuous large vocabulary can be automatically divided into segments of single syllable, the recognition ratio of system can be raised. How to make automatic segmentation of syllable in the recognition of speech sound? First of all, We should find out the features of Chinese speech syllable. Synthesizing current research achevements of Chinese syllabic feature with thorough comparison and analysis, this paper systematically offers the features of power spectrum and time-domain of Chinese speech syllable, Which provides algorithm basis for automatic segmentarion of Chinese speech syllable and has a great significance for raising the recognition ratio of continuous large vocabulary.

汉语语音识别中连续大词汇量的语音识别率较差。若能把连续大词汇量的语音进行实时自动切分为单个音节,便可提高系统的识别率。如何做到对语音识别中音节的自动切分,首先需找出汉语语音音节的特征。本文综合了当前对汉语音节特征的研究成果,通过深入地比较分析,系统地给出了汉语语音音节的功率谱特征和时域特征,为汉语语音音节的自动切分提供算法依据,对提高连续大词汇量语音的识别率有重要意义。

 
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