该算法利用语谱带上的分层信息精确捕捉相邻汉字音节的局部跳变时间点，可以检测到一般的检测算法极易疏漏的弱化音节的端点。

It USES spectrogram information to catch the exact local jump time between adjacent Chinese syllables, especially for weak syllable, which is often leaked by usual detection algorithm.

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本文基于对《当代北京口语语料》120名被试的调查分析，探讨了20世纪80年代不同社会群体在轻声弱化音节使用上的特点。

Based on the investigation on 120 samples from Contemporary Beijing Spoken Language Database, we analyzed the features of weak syllables used by different social groups in 1980s.

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在非初始音节中，有更多元音弱化。

In non-initial syllables, there was more vowel reductions.

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