浅谈语音处理技术

语音识别是一个多学科交叉的边缘学科,它需要语言学、心理学、工程和计算机等领域的专业知识.不仅要对语音识别和语音合成技术进行研究,还要对人在语音通道下的交互机理、行为方式等方面进行研究.     

语音识别技术展望

<正> 自从ENIAC问世之后,立即有人想到要让计算机听懂人说话,并开始了这方面的研究工作。所以说,语音识别的研究历史与计算机的发展历史一样长。计算机的发展已历经了从电子管到晶体管以至超大规模集成电路的好几代,单单微机的CPU就从早期的4004发展到今天的奔腾三代,涌入了普通家庭,已与我们的数字化生活密不可分。但是,与计算机同步发展的语音识别技术似乎并不遵循摩尔规律,它的产品也迟迟未能进入市场。时至今日,语音技术产品的市场日益升温,语音识别技术已经成为计算机进一步在亿万百姓中普及的关键技术,也必将成为信息产业的标志性技术和未来计算机的重要特征。     

面向大词汇量的维吾尔语连续语音识别研究

近年来大词汇量连续语音识别技术得到了迅速的发展,国内外研究机构加大了对汉语和英语语音识别技术的研究,然而,维吾尔语语音识别技术的研究工作最近才起步。建立了面向大词汇量的维吾尔语语音语料库,研究了维吾尔语声学模型和语言模型建模技术、解码技术,进行了面向大词汇量的维吾尔语连续语音识别实验。对维吾尔语大词汇量连续语音识别技术进一步发展中存在的问题进行了讨论。     

语音识别技术的未来

“发展中的语音识别技术正推动着透明化计算,使人与计算机之间的互动更加容易。”IBM语音系统部门的Anne-Marie Derouault 如是说。 进入新世纪以来,IT世界在经历着一场向人机互动技术的大转移,这在很大一部分上借助于语音识别技术。语音识别技术的出现不但开始改变我们与PC的交流方式,还会进一步影响我们从事商业活动和获取信息的模式。语音识别技术在过去     

基于语音识别技术的英语口语教学系统

许多计算机辅助英语学习的应用欠缺口语学习的评估和反馈.描述了一个采用语音识别技术的英语口语学习系统.除了通常的发音评分外,还提供基于音素关联和音素识别的错误检测功能.结合纠正知识库的改进建议和韵律修正语音,可以及时地给学习者以帮助.实验结果表明,能够纠正有一定基础学习者的多数非故意错误.     

用声音“看”视频

当语音识别技术遇到互联网,视频搜索又有了新的可能。计算机可以轻松处理文本,但对语音却没那么容易。在过去的20年里,研究人员一直在努力让人和计算机搭上腔。语音识别技术因此变得成熟。现在,你已经可以通过声音来"命令"计算机做一些简单的操作,你所讲的话也能够被顺利地识别为一段文字。而当视频互联网时代到来后,人们对语音技术又有了新的期望。     

语音翻译系统技术分析

语音翻译(SPeech Translation)技术作为一门综合性的计算机应用技术,近年来得到了广的关注。有关专家曾指出,语音翻译是自然语言处理、语音识别及其人工智能研究的最终目标一,是当今世界对计算机科学和工程最大的挑战[1],其应用效果如     

Android语音识别的应用与开发

随着计算机科学技术的发展,语音识别技术的出现,使得机器能够通过识别人的语音信号并转变成机器相对应的命令。语音识别技术的应用已经成为当今社会上具有竞争价值的新兴高科技产业。它在人机交互中占的比例将会越来越大。作为Google力推的Android自然会将此技术往Android系统里面植入,并结合Google的云端技术将其发扬光大,Google Voice Recognition也就应运而生。     

中文语音智能平台

中文语音智能平台将语音浏览互联网变成了现实，该技术融自动语音识别、智能语音机器人和语音转换等技术于一体，人们可以用自然语言和计算机进行交流，方便、快捷地从浩瀚无际的互联网中获取信息。     

基于VXML技术的语音门户研究

语音门户可以通过电话来浏览网络信息,而VXML是XML语言在语音门户方面的应用。介绍了语音门户系统的结构模型及主要关键技术：VXML技术、自动语音识别技术和语音合成技术,并结合汉语特点研究了单边自相关线性预测法．可以提高噪音影响下的语音识别率。     

The JSAI and AI activity in Japan

Japan has a long history of AI research, in fact, research on computer vision and natural language processing was already in progress in the early seventies. However, two events that started Japan's wave of AI research were the International Joint Conference on Artificial Intelligence (IJCAI) in Tokyo in 1979 and the Fifth Generation Computer System Project which the Ministry of International Trade and Industries started in 1982. Both events greatly impacted Japanese AI research-especially the FGCS project, a 10-year national project to build an inference machine based on logic programming. Japan established its Japanese Society for Artificial Intelligence in 1986. JSAI has about 3,500 members and several special-interest groups. It publishes bimonthly online journals and transactions. JSAI recently established a new technical paper category called AI Frontier. This category has distinct evaluation criteria: papers must deeply impress the six expert evaluators. JSAI established the Pacific Rim International Conference on Artificial Intelligence in 1990 to complement IJCAI and the European Conference on Artificial Intelligence.     

A Prolog simulator for deterministic P systems with active membranes

In this paper we propose a new way to represent P systems with active membranes based on Logic Programming techniques. This representation allows us to express the set of rules and the configuration of the P system in each step of the evolution as literals of an appropriate language of first order logic. We provide a Prolog program to simulate, the evolution of these P systems and present some auxiliary tools to simulate the evolution of a P system with active membranes using 2-division which solves the SAT problem following the techniques presented in Reference.¹⁰ Andrés Cordón-Franco: He is a member of the Department of Computer Science and Artificial Intelligence at the University of Sevilla (Spain). He is also a member of the research group on Natural Computing of the University of Seville. His research interest includes Mathematical Logic, Logic in Computer Science, and Membrane Computing, both from a theoretical and from a practical (software implementation) point of view. Miguel A. Gutiérrez-Naranjo: He is an assistant professor in the Computer Science and Artificial Intelligence Department at University of Sevilla, Spain. He is also a member of the Research Group on Natural Computing of the University of Seville. His research interest includes Machine Learning, Logic Programming and Membrane Computing, both from a theoretical and a practical point of view. Mario J. Pérez-Jiménez, Ph.D.: He is professor of Department of Computer Science and Artificial Intelligence at University of Seville, where he is the head of the Group of Research on Natural Computing, He has published 8 books of Mathematics and Computation, and more than 90 scientific articles in prestigious scientific journals. He is member of European Molecular Computing Consortium. Fernando Sancho-Caparrini: He is a member of the Department of Computer Science and Artificial Intelligence at the University of Sevilla (Spain). He is also a member of the research group on Natural Computing of the University of Seville. His research interest includes Complex Systems, DNA Computing, Logic in Computer Science, and Membrane Computing, both from a theoretical and from a practical point of view.     

Preferences in artificial intelligence

The paper presents a focused survey about the presence and the use of the concept of “preferences” in Artificial Intelligence. Preferences are a central concept for decision making and have extensively been studied in disciplines such as economy, operational research, decision analysis, psychology and philosophy. However, in the recent years it has also become an important topic both for research and applications in Computer Science and more specifically in Artificial Intelligence, in fields spanning from recommender systems to automatic planning, from non monotonic reasoning to computational social choice and algorithmic decision theory. The survey essentially covers the basics of preference modelling, the use of preference in reasoning and argumentation, the problem of compact representations of preferences, preference learning and the use of non conventional preference models based on extended logical languages. It aims at providing a general reference for all researchers both in Artificial Intelligence and Decision Analysis interested in this exciting interdisciplinary topic.     

分布式协作办公系统

本文提出了一种新的在ＩＮＴＲＡＮＥＴ网上实现协同办公的多用户多任务协作机制,该文法将ＤＡＩ技术与ＣＳＣＷ技术相结合,能够有效实现分布文档管理、异步协同文档编程以及协作完成办公过程吕的各项任务。     

创新型人工智能教学改革与实践

人工智能是计算机科学与技术专业的一门重要专业课程,是一门研究运用计算机模拟和延伸人脑功能的综合性学科。探讨就3个方面内容进行:启发式传授人工智能解决问题的非结构化的思想;成体系的实验训练;与毕业论文、学校大学生科研项目资助计划、国家大学生创新性实验计划相对接的科研训练。上述3个方面层层递进、环环相扣,是体系完整的创新型人工智能教学实践。     

Book Reviews

Artificial Intelligence Terminology: A Reference Guide Colin Beardon
Expert Systems: A Decision Support Approach - With Applications in Management and Finance M. Klein and L. B. Methlie, Addison
The Logical Basis for Computer Programming, Vol. 2: Deductive Systems Zohar Manna and Richard
Prolog Programming for Artificial Intelligence Ivan Bratko     

人工智能技术在机器人运动规划中的应用

机器人的运动规划问题是机器人学和人工智能中的一个重要课题。总结了国内外在机器人运动规划领域的一些典型算法，讨论了各种人工智能技术在运动规划中的应用，介绍了在空间机器人运动规划课题研究中的一些成果。     

人工智能领域知识图谱构建与分析

近年来人工智能技术成为学术界和产业界的研究焦点,基于领域科技文献对人工智能相关技术脉络的发展进行分析和研究有助于科研人员掌握相关技术发展方向,同时为国家制定相关政策措施提供了大数据支撑。美国人工智能协会年会(AAAI)和人工智能国际联合大会(IJCAI)是人工智能领域最主要的学术会议,众多领先的AI科技成果在上述会议期间被提出。论文对最近十余年的AAAI和IJCAI会议中的论文集进行了整理分析和挖掘,构建了包含500000个反映研究主题、研究人员等实体及其关系的三元组的人工智能领域知识图谱,并在此基础上对人工智能领域的研究热点和发展趋势进行了分析和讨论。     

面向计算机专业研究生的人工智能教育

人工智能是为计算机专业研究生开设的一门重要课程。分析了为计算机专业研究生开设人工智能课程的必要性以及人工智能在研究生培养过程中的重要作用。结合计算机专业研究生的特点,进一步提出了关于研究生人工智能教育的几点建议。