首页> 外文会议>International Conference on Spoken Language Processing; 20041004-08; Jeju(KR) >Dependency Analysis of Read Japanese Sentences using Pause and F0 Information: A Speaker Independent Case
【24h】

Dependency Analysis of Read Japanese Sentences using Pause and F0 Information: A Speaker Independent Case

机译:使用暂停和F0信息的日语日语句子相关性分析:独立于说话人的案例

获取原文
获取原文并翻译 | 示例

摘要

This paper deals with the problem of exploiting prosodic information in syntactic analysis of sentences. Duration of pauses at phrase boundaries and relative F_0 contour features have been found to be effective for parsing in speaker-dependent case. In this paper, effectiveness of pause and F_0 information was examined in a speaker-independent manner by using prosodic features extracted from the spoken version of sentences of 44 speakers. By simplifying the estimation of both pause and F_0 contour models, better performance was obtained. Linear combination of pause and F_0 information gave significant improvements in parsing accuracy. It was also shown that the effectiveness of pause information was larger when pause models were estimated separately for zero-duration and non-zero-duration pauses.
机译:本文探讨在句法分析中利用韵律信息的问题。已经发现在短语边界和相对F_0轮廓特征处的停顿持续时间对于解析与说话者相关的情况非常有效。在本文中,通过使用从44位说话者的口语版本中提取的韵律特征,以与说话者无关的方式检查了暂停和F_0信息的有效性。通过简化暂停模型和F_0轮廓模型的估计,可以获得更好的性能。暂停和F_0信息的线性组合大大提高了解析精度。还显示,分别针对零时长和非零时长的停顿估计停顿模型时,停顿信息的有效性更大。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号