On the use of F0 features in automatic segmentation for speech synthesis

Takashi Saito
{"title":"On the use of F0 features in automatic segmentation for speech synthesis","authors":"Takashi Saito","doi":"10.21437/ICSLP.1998-56","DOIUrl":null,"url":null,"abstract":"This paper focuses on a method for automatically dividing speech utterances into phonemic segments, which are used for constructing synthesis unit inventories for speech synthesis. Here, we propose a new segmentation parameter called, “dynamics of fundamental frequency (DF0).” In the fine structures of F0 contours, there exist phonemic events which are observed as local dips at phonemic transition regions, especially around voiced consonants. We apply this observation about F0 contours to a speech segmentation method. The DF0 segmentation parameter is used in the final stage of the segmentation procedure to refine the phonemic boundaries obtained roughly by DP alignment. We conduct experiments on the proposed automatic segmentation with a speech database prepared for unit inventory construction, and compare the obtained boundaries with those of manual segmentation to show the effectiveness of the proposed method. We also discuss the effects of the boundary refinement on the synthesized speech. effects of the proposed method on the synthesized speech. Finally, we summarize the results obtained here.","PeriodicalId":117113,"journal":{"name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"5th International Conference on Spoken Language Processing (ICSLP 1998)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/ICSLP.1998-56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

This paper focuses on a method for automatically dividing speech utterances into phonemic segments, which are used for constructing synthesis unit inventories for speech synthesis. Here, we propose a new segmentation parameter called, “dynamics of fundamental frequency (DF0).” In the fine structures of F0 contours, there exist phonemic events which are observed as local dips at phonemic transition regions, especially around voiced consonants. We apply this observation about F0 contours to a speech segmentation method. The DF0 segmentation parameter is used in the final stage of the segmentation procedure to refine the phonemic boundaries obtained roughly by DP alignment. We conduct experiments on the proposed automatic segmentation with a speech database prepared for unit inventory construction, and compare the obtained boundaries with those of manual segmentation to show the effectiveness of the proposed method. We also discuss the effects of the boundary refinement on the synthesized speech. effects of the proposed method on the synthesized speech. Finally, we summarize the results obtained here.
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
F0特征在语音合成自动分割中的应用
本文研究了一种语音自动分割方法,将语音自动分割成音位段,用于构建语音合成的合成单元清单。在这里,我们提出了一个新的分割参数,称为“基频动力学(DF0)”。在F0轮廓的精细结构中,存在音位事件,在音位过渡区,特别是在浊音附近,观察到局部下降。我们将这种关于F0轮廓的观察应用于语音分割方法。在分割过程的最后阶段,使用DF0分割参数来细化由DP对齐粗略得到的音位边界。我们利用为单位库存构建准备的语音数据库对所提出的自动分割进行了实验,并将所得到的边界与人工分割的边界进行了比较,以证明所提出方法的有效性。讨论了边界细化对合成语音的影响。该方法对合成语音的影响。最后,对所得结果进行了总结。
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
Assimilation of place in Japanese and dutch Articulatory analysis using a codebook for articulatory based low bit-rate speech coding Phonetic and phonological characteristics of paralinguistic information in spoken Japanese HMM-based visual speech recognition using intensity and location normalization Speech recognition via phonetically featured syllables
×
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