This paper concentrates on robust automatic speech segmentation of dialectal speech, which is essential for building dialectal speech corpus.
本文研究方言口音普通话语音自动切分算法，主要服务于方言口音普通话语音库建设。
The role of dialectal speech modeling is to adjust model parameters and structure of automatic speech segmentation systems to make sure that the system can be used in dialectal circumstances.
方言口音建模是本研究的关键，其作用是利用方言口音语音数据调整系统参数或结构，使其体现方言口音特征。
This segmentation algorithm combines the speech segmentation approach based on energy with the characters of the database. Now, the automatic segmentation in the Bimodal Database can be realized.
该切分算法在基于能量的语音切分算法基础上，结合了双模态语料库的一些特征，实现了对语料的自动切分。
Others such as machine translation ( MT ), speech synthesis, automatic classification, automatic summarization, automatic proofreading etc. , require the use of word segmentation.
其他的比如机器翻译（MT）、语音合成、自动分类、自动摘要、自动校对等等，都需要用到分词。
Others such as machine translation ( MT ), speech synthesis, automatic classification, automatic summarization, automatic proofreading etc. , require the use of word segmentation.
其他的比如机器翻译（MT）、语音合成、自动分类、自动摘要、自动校对等等，都需要用到分词。
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