{"title":"Speech Technology Opportunities and Challenges","authors":"D. Nahamoo","doi":"10.1109/SLT.2006.326778","DOIUrl":null,"url":null,"abstract":"Summary form only given. Two forces are in pursuit of discovering the possibilities of speech technology automation. First is the global research and development community which has been hard at work for improving the performance and usability of the technology. Second is the business community which constantly evaluates the performance of the technology against the expectation of the user community for delivering solutions such as a spoken car navigation system. While the performance improvement has been on a constant positive progress curve, the market opportunity has been on a much more uncertain curve. For example, the early vision of delivering a dictation solution has been on hold in recent years while it enjoyed enormous interest in the 90 s. At the same time, some industry experts predict that this vision will be fulfilled soon because of the usability needs of billions of mobile devices in use today. Analogies can be drawn for the use of speech technologies for call centers self service interaction. While we have seen a much bigger market success, some industry experts predict that web self services will slow down the use of speech self service. So, where does the truth lie? What are those market opportunities that are clear winners? What opportunities will open up in future and what are their technical challenges? In this talk, we will address some of these questions.","PeriodicalId":74811,"journal":{"name":"SLT ... : ... IEEE Workshop on Spoken Language Technology : proceedings. IEEE Workshop on Spoken Language Technology","volume":"34 1","pages":"1"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLT ... : ... IEEE Workshop on Spoken Language Technology : proceedings. IEEE Workshop on Spoken Language Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SLT.2006.326778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Summary form only given. Two forces are in pursuit of discovering the possibilities of speech technology automation. First is the global research and development community which has been hard at work for improving the performance and usability of the technology. Second is the business community which constantly evaluates the performance of the technology against the expectation of the user community for delivering solutions such as a spoken car navigation system. While the performance improvement has been on a constant positive progress curve, the market opportunity has been on a much more uncertain curve. For example, the early vision of delivering a dictation solution has been on hold in recent years while it enjoyed enormous interest in the 90 s. At the same time, some industry experts predict that this vision will be fulfilled soon because of the usability needs of billions of mobile devices in use today. Analogies can be drawn for the use of speech technologies for call centers self service interaction. While we have seen a much bigger market success, some industry experts predict that web self services will slow down the use of speech self service. So, where does the truth lie? What are those market opportunities that are clear winners? What opportunities will open up in future and what are their technical challenges? In this talk, we will address some of these questions.
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
语音技术的机遇与挑战
只提供摘要形式。两股力量正在探索语音技术自动化的可能性。首先是全球研究和开发社区,他们一直在努力提高技术的性能和可用性。第二种是商业社区,他们不断地根据用户社区的期望来评估技术的性能,以提供诸如语音汽车导航系统之类的解决方案。虽然性能改善一直处于一个持续的积极进展曲线上,但市场机会却处于一个更加不确定的曲线上。例如,提供口授解决方案的早期愿景近年来一直被搁置,而它在90年代受到了极大的关注。与此同时,一些行业专家预测,由于目前使用的数十亿移动设备的可用性需求,这一愿景将很快实现。在呼叫中心自助服务交互中使用语音技术可以进行类比。虽然我们已经看到了更大的市场成功,但一些行业专家预测,网络自助服务将减缓语音自助服务的使用。那么,真相在哪里呢?哪些市场机会是明显的赢家?未来会有哪些机会?他们面临的技术挑战是什么?在这次演讲中,我们将讨论其中的一些问题。
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
STYLETTS-VC: ONE-SHOT VOICE CONVERSION BY KNOWLEDGE TRANSFER FROM STYLE-BASED TTS MODELS. COMPUTATIONAL ANALYSIS OF TRAJECTORIES OF LINGUISTIC DEVELOPMENT IN AUTISM. ROBUST DETECTION OF VOICED SEGMENTS IN SAMPLES OF EVERYDAY CONVERSATIONS USING UNSUPERVISED HMMS. Efficient prior and incremental beam width control to suppress excessive speech recognition time based on score range estimation Information Extraction from speech
×
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