增强的基于规则的罗马尼亚语语音转录

Mihai Alexandru Ordean, Andrei Saupe, Mihaela Ordean, Melania Duma, G. Silaghi
{"title":"增强的基于规则的罗马尼亚语语音转录","authors":"Mihai Alexandru Ordean, Andrei Saupe, Mihaela Ordean, Melania Duma, G. Silaghi","doi":"10.1109/SYNASC.2009.18","DOIUrl":null,"url":null,"abstract":"This paper presents a rule-based approach for the phonetic transcription of the Romanian language. We integrate this phonetic analysis in the text processing component of a text-to-speech system for Romanian. Grapheme-to-phoneme rules are constructed based on expert information from DOOMII dictionary. In the cases when rules are useless, we employed decision trees constructed on engineered training sets to help the classifiers to learn the language exceptions.","PeriodicalId":286180,"journal":{"name":"2009 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","volume":"90 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Enhanced Rule-Based Phonetic Transcription for the Romanian Language\",\"authors\":\"Mihai Alexandru Ordean, Andrei Saupe, Mihaela Ordean, Melania Duma, G. Silaghi\",\"doi\":\"10.1109/SYNASC.2009.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a rule-based approach for the phonetic transcription of the Romanian language. We integrate this phonetic analysis in the text processing component of a text-to-speech system for Romanian. Grapheme-to-phoneme rules are constructed based on expert information from DOOMII dictionary. In the cases when rules are useless, we employed decision trees constructed on engineered training sets to help the classifiers to learn the language exceptions.\",\"PeriodicalId\":286180,\"journal\":{\"name\":\"2009 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"volume\":\"90 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2009.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2009.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

摘要

本文提出了一种基于规则的罗马尼亚语语音转录方法。我们将这种语音分析整合到罗马尼亚语文本转语音系统的文本处理组件中。基于DOOMII词典中的专家信息构建了字母到音素规则。在规则无用的情况下,我们使用在工程训练集上构建的决策树来帮助分类器学习语言异常。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Rule-Based Phonetic Transcription for the Romanian Language
This paper presents a rule-based approach for the phonetic transcription of the Romanian language. We integrate this phonetic analysis in the text processing component of a text-to-speech system for Romanian. Grapheme-to-phoneme rules are constructed based on expert information from DOOMII dictionary. In the cases when rules are useless, we employed decision trees constructed on engineered training sets to help the classifiers to learn the language exceptions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信