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计算机工程 ›› 2006, Vol. 32 ›› Issue (19): 23-25,2. doi: 10.3969/j.issn.1000-3428.2006.19.009

• 博士论文 • 上一篇    下一篇

基于SLM的二叉树在语音停顿预测中的应用

钱揖丽1,2,荀恩东3,宋 柔3   

  1. (1. 北京工业大学计算机学院,北京 100022;2. 山西大学计算机与信息技术学院,太原 030006;3. 北京语言大学信息科学学院,北京 100083)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-10-05 发布日期:2006-10-05

Application of Bintree Based on SLM in Speech Pauses’ Prediction

QIAN Yili1,2, XUN Endong3, SONG Rou3   

  1. (1. College of Computer, Beijing University of Technology, Beijing 100022; 2. College of Computer and Information Technology, Shanxi University, Taiyuan 030006; 3. College of Information Science, Beijing Language and Culture University, Beijing 100083)
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-05 Published:2006-10-05

摘要: 讨论基于统计语言模型SLM(Statistic Language Model)的二叉树在语音停顿预测中的应用。基于大规模语料,利用三元模型Trigram,建立统计语言模型;基于SLM为待处理句子生成相应的二叉树;将生成的二叉树所包含的信息,从不同角度应用于语音停顿的预测。实验结果表明,基于SLM生成的二叉树能够较好地为语音停顿的预测做出贡献。

关键词: 统计语言模型, 二叉树, 语音停顿, 预测

Abstract: This paper discusses the application of bintree based on SLM (Statistic Language Model) in speech pauses’ prediction. It constructs Trigram statistic language model based on large-scale corpus, and builds corresponding bintree for the sentence waiting disposal; and then it predicts speech pauses at two different angle using information provided by tree. The results of experiments show that the bintree based on SLM can make contribution to speech pauses’ prediction effectively.

Key words: Statistic language model, Bintree, Speech pause, Prediction

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