Editor's Message to Special Issue on Spoken Document Processing

Q4 Computer Science
S. Nakagawa
{"title":"Editor's Message to Special Issue on Spoken Document Processing","authors":"S. Nakagawa","doi":"10.2197/IPSJJIP.21.156","DOIUrl":null,"url":null,"abstract":"Recently, speech recognition technology became popular such as in applications of voice search, speech translation and TV closed caption. Until two decades, researchers and engineers were concerned with how to spread speech recognition technology. When we think of those days, we feel like we are living in a completely different age. Needless to say, it was caused not only by the progress of speech recognition technology, but also endeavor of company, because it is necessary further devise the technology for transferring to a general market. When the technology matched with citizen’s demand, the market will expand rapidly. We can say that the speech recognition technology will get better with age. People say the technical term of “speech recognition” in daily conversation. This is influenced by the commercial of speech recognition applications such as other goods. From a view point of this phenomenon, it looks like the research of spoken language processing is nearly complete, but it is not true. The biggest user demand for speech applications is to improve the speech recognition performance and to make it robust for various environments. Furthermore there still remains a problem how to utilize big data of spoken documents. Significant Interest Group of Spoken Language Information Processing (SIG-SLP) of Information Processing Society of Japan founded “Working Group of Spoken Document Processing” at 1996 and finished in 2012. During that period, the group set the task of spoken retrieval, recorded the spoken documents and published the transcription. At the same time, we held “Workshop of Spoken Document Processing” every year together with Toyohashi University of Technology. In accordance with the progress of speech recognition technology and the increase of spoken documents, the researches related to spoken documents have become more active. Therefore we thought the special issue was valuable for developing such fields and published it firstly in 2009. This is the second special issue. Topics of this issue are related to spoken document/corpus processing of lecture, meeting, broadcasting, spoken dialog, speech translation and so on. We informed the special issue and CFP at the homepage of IPSJ, meeting of SLP and mailing-list. We had 21 submitted papers (29 papers for the first issue) and accepted 11 papers including 3 English papers (13 papers for the first issue). Out of these accepted papers, 5 papers were related to spoken retrieval, because of the influence of the Working Group.","PeriodicalId":16243,"journal":{"name":"Journal of Information Processing","volume":"21 1","pages":"156-156"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2197/IPSJJIP.21.156","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2197/IPSJJIP.21.156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0

Abstract

Recently, speech recognition technology became popular such as in applications of voice search, speech translation and TV closed caption. Until two decades, researchers and engineers were concerned with how to spread speech recognition technology. When we think of those days, we feel like we are living in a completely different age. Needless to say, it was caused not only by the progress of speech recognition technology, but also endeavor of company, because it is necessary further devise the technology for transferring to a general market. When the technology matched with citizen’s demand, the market will expand rapidly. We can say that the speech recognition technology will get better with age. People say the technical term of “speech recognition” in daily conversation. This is influenced by the commercial of speech recognition applications such as other goods. From a view point of this phenomenon, it looks like the research of spoken language processing is nearly complete, but it is not true. The biggest user demand for speech applications is to improve the speech recognition performance and to make it robust for various environments. Furthermore there still remains a problem how to utilize big data of spoken documents. Significant Interest Group of Spoken Language Information Processing (SIG-SLP) of Information Processing Society of Japan founded “Working Group of Spoken Document Processing” at 1996 and finished in 2012. During that period, the group set the task of spoken retrieval, recorded the spoken documents and published the transcription. At the same time, we held “Workshop of Spoken Document Processing” every year together with Toyohashi University of Technology. In accordance with the progress of speech recognition technology and the increase of spoken documents, the researches related to spoken documents have become more active. Therefore we thought the special issue was valuable for developing such fields and published it firstly in 2009. This is the second special issue. Topics of this issue are related to spoken document/corpus processing of lecture, meeting, broadcasting, spoken dialog, speech translation and so on. We informed the special issue and CFP at the homepage of IPSJ, meeting of SLP and mailing-list. We had 21 submitted papers (29 papers for the first issue) and accepted 11 papers including 3 English papers (13 papers for the first issue). Out of these accepted papers, 5 papers were related to spoken retrieval, because of the influence of the Working Group.
《口语文件处理》特刊编者寄语
近年来,语音识别技术在语音搜索、语音翻译、电视字幕等应用中得到广泛应用。直到20年前,研究人员和工程师们一直在关注如何传播语音识别技术。当我们想起那些日子,我们觉得我们生活在一个完全不同的时代。毋庸置疑,这不仅是语音识别技术进步的结果,也是公司自身努力的结果,因为要想将该技术推向市场,还需要进一步的设计。当技术与市民的需求相匹配时,市场将迅速扩大。我们可以说,随着年龄的增长,语音识别技术会越来越好。人们在日常对话中会说到“语音识别”这个专业术语。这是受商业的语音识别应用程序,如其他商品的影响。从这一现象的角度来看,似乎口头语言加工的研究已经接近完成,但事实并非如此。用户对语音应用的最大需求是提高语音识别性能并使其在各种环境下具有鲁棒性。此外,如何利用语音文档的大数据仍然是一个问题。日本信息处理学会口语信息处理重要兴趣小组(SIG-SLP)于1996年成立了“口语文件处理工作组”,于2012年完成。在此期间,小组设定口语检索任务,记录口语文件并发表转录。与此同时,我们每年与丰桥工业大学合作举办“口语文档处理工作坊”。随着语音识别技术的进步和口语文件的增多,与口语文件相关的研究也变得更加活跃。因此,我们认为这一期特刊对这些领域的发展很有价值,并于2009年首次出版。这是第二期特刊。本课题涉及演讲、会议、广播、口语对话、语音翻译等口语文档/语料库处理。我们在IPSJ的主页、SLP会议和邮件列表上通知了特刊和CFP。投稿论文21篇(第一期29篇),接受论文11篇,其中英文论文3篇(第一期13篇)。在这些被接受的论文中,由于工作组的影响,有5篇论文与口头检索有关。
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 求助全文
来源期刊
Journal of Information Processing
Journal of Information Processing Computer Science-Computer Science (all)
CiteScore
1.20
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:481959085
Book学术官方微信