首页> 外文会议>IEEE International Conference on Acoustics, Speech, and Signal Processing >A MULTILEVEL FRAMEWORK TO MODEL THE INHERENTLY CONFOUNDING NATURE OF SENTENTIAL F0 CONTOURS FOR RECOGNIZING CHINESE LEXICAL TONES
【24h】

A MULTILEVEL FRAMEWORK TO MODEL THE INHERENTLY CONFOUNDING NATURE OF SENTENTIAL F0 CONTOURS FOR RECOGNIZING CHINESE LEXICAL TONES

机译:一种多级框架,以模拟句子F0轮廓的本质上混杂性,以识别中国词汇色调

获取原文

摘要

This paper presents a multilevel framework to cope with the complex variations in Chinese sentential F0 contours in order to recognize lexical tones. Tone nucleus model is to get rid of the influence of intrinsic F0 transition loci at sub-syllable level. Pitch anchoring concept is used to normalize tonal F0 contours at syllable level. Hypo- and Hyper- intonation model is to account for the interplay of tone coarticulation and higher level prosodic effects. The whole approach achieved significant higher performance than the conventional method.
机译:本文介绍了一种多级框架,以应对中文句子F0轮廓的复杂变化,以识别词汇色调。音调模型是在子音节水平下摆脱内在F0转换基因座的影响。俯仰锚定概念用于在音节电平时归一化色调F0轮廓。 Hypo-and Hypro-and Hyper-and Hypl-and Hypl-and Hyml-and Hypl-and Hypernation模型是语气套装的相互作用和更高水平的韵律效应。整个方法比传统方法实现了显着的性能。

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