A Macro-Prosodic Indications for a Romanian TtS System Based on the Functional Intonational Model

V. Apopei, D. Jitca, Otilia Paduraru
{"title":"A Macro-Prosodic Indications for a Romanian TtS System Based on the Functional Intonational Model","authors":"V. Apopei, D. Jitca, Otilia Paduraru","doi":"10.1109/EST.2012.48","DOIUrl":null,"url":null,"abstract":"This paper presents how macro-prosodic indications can be used within our TtS system in order to drive the prosody prediction module (PPM) in generating a target intonational contour for the synthesized utterance. The previous variant of the PPM generates melodic contour descriptions only using the implicit prosodic indications deduced from the text analysis. The explicit indications are edited in the input text window and refer to the group markers applied to a text to which can be assigned a focus attribute with an indication on its strength. It can be also assigned to a group an attribute of tonal prominence (related to the tonal level of the highest peak in the group). We called these indications the macro-prosodic indications. We also defined a microprosodic indication that refers to the pitch accent type attribute at the accentual unit level that is related to F0 contour pattern. The values of this attribute are taken from the Ro-ToBI label set. Both macro and microprosodic indications lead to elicit certain intonational variants at the speech synthesis output and also can improve the Romanian intonation contour understanding.","PeriodicalId":314247,"journal":{"name":"2012 Third International Conference on Emerging Security Technologies","volume":"98 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Emerging Security Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EST.2012.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper presents how macro-prosodic indications can be used within our TtS system in order to drive the prosody prediction module (PPM) in generating a target intonational contour for the synthesized utterance. The previous variant of the PPM generates melodic contour descriptions only using the implicit prosodic indications deduced from the text analysis. The explicit indications are edited in the input text window and refer to the group markers applied to a text to which can be assigned a focus attribute with an indication on its strength. It can be also assigned to a group an attribute of tonal prominence (related to the tonal level of the highest peak in the group). We called these indications the macro-prosodic indications. We also defined a microprosodic indication that refers to the pitch accent type attribute at the accentual unit level that is related to F0 contour pattern. The values of this attribute are taken from the Ro-ToBI label set. Both macro and microprosodic indications lead to elicit certain intonational variants at the speech synthesis output and also can improve the Romanian intonation contour understanding.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于功能语调模型的罗马尼亚语TtS系统宏观韵律指示
本文介绍了如何在我们的TtS系统中使用宏观韵律指示,以驱动韵律预测模块(PPM)为合成的话语生成目标语调轮廓。先前的PPM变体仅使用从文本分析中推断出的隐含韵律指示来生成旋律轮廓描述。在输入文本窗口中编辑显式指示,并引用应用于文本的组标记,可以将焦点属性分配给该文本,并指示其强度。它也可以被赋予一个组的音调突出属性(与该组中最高峰的音调水平有关)。我们称这些迹象为宏观韵律迹象。我们还定义了一个微韵律指示,指的是与F0轮廓模式相关的重音单位级别的音高重音类型属性。该属性的值取自Ro-ToBI标签集。宏观和微观韵律指示导致语音合成输出产生一定的语调变异,也可以提高罗马尼亚语语调轮廓的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
MultiMind: Multi-Brain Signal Fusion to Exceed the Power of a Single Brain Weightless Neural System Employing Simple Sensor Data for Efficient Real-Time Round-Corner, Junction and Doorway Detection for Autonomous System Path Planning in Smart Robotic Assisted Healthcare Wheelchairs FPGA-Based Platform for Real-Time Internet Optimization and Sequence Search Based Localization in Wireless Sensor Networks A Knowledge Fusion Toolkit for Decision Making
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1