DSP与语音识别的共生还是一个局外人的观点

J. Kaiser
{"title":"DSP与语音识别的共生还是一个局外人的观点","authors":"J. Kaiser","doi":"10.1109/ASRU.2001.1034575","DOIUrl":null,"url":null,"abstract":"From an historical review of how we got to where we are now, we discuss the interrelationship between our system design objectives and goals, our modeling of the speech signal and its generation and parameterization, and the broadly developing DSP methodology. We take a critical look at some of the underlying assumptions in. our modeling to see if they may be limiting the performance that can be obtained with ASR (automatic speech recognition) systems. We close with some open questions and challenges for new work.","PeriodicalId":118671,"journal":{"name":"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The symbiosis of DSP and speech recognition or an outsider's view of the inside\",\"authors\":\"J. Kaiser\",\"doi\":\"10.1109/ASRU.2001.1034575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"From an historical review of how we got to where we are now, we discuss the interrelationship between our system design objectives and goals, our modeling of the speech signal and its generation and parameterization, and the broadly developing DSP methodology. We take a critical look at some of the underlying assumptions in. our modeling to see if they may be limiting the performance that can be obtained with ASR (automatic speech recognition) systems. We close with some open questions and challenges for new work.\",\"PeriodicalId\":118671,\"journal\":{\"name\":\"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASRU.2001.1034575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASRU.2001.1034575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

从历史回顾我们如何到达现在的位置,我们讨论了我们的系统设计目标和目标之间的相互关系,我们的语音信号建模及其生成和参数化,以及广泛发展的DSP方法。我们对一些潜在的假设进行了批判性的审视。我们的建模,看看它们是否会限制ASR(自动语音识别)系统的性能。我们以一些开放的问题和新工作的挑战作为结束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
The symbiosis of DSP and speech recognition or an outsider's view of the inside
From an historical review of how we got to where we are now, we discuss the interrelationship between our system design objectives and goals, our modeling of the speech signal and its generation and parameterization, and the broadly developing DSP methodology. We take a critical look at some of the underlying assumptions in. our modeling to see if they may be limiting the performance that can be obtained with ASR (automatic speech recognition) systems. We close with some open questions and challenges for new work.
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
期刊最新文献
Example-based query generation for spontaneous speech Multilingual acoustic models for the recognition of non-native speech A comparative study of model-based adaptation techniques for a compact speech recognizer Trend tying in the segmental-feature HMM Estimated rank pruning and Java-based speech recognition
×
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