第4期 张少白，等：基于DVA模型的语音-映射单元自动获取 ·311 modeling and imaging of the cortical interactions underlying systems'efficiency[C]//Proceedings from Fonetik 2005. syllable production[J].Brain and Language,2006,96 Gothenburg,Sweden,2005:83-86. (3):280-301. [20]CHEN Y,WENG J.Developmental learning:a case study [14]ZHANG Shaobai,XU Lei,CHENG Xiefeng.Research on in understanding "object permanence"[C]//Proceedings classification method of speech signal based on DIVA mod- of Fourth International Workshop on Epigenetic Robotics: el[J].International Review on Computers and Software, Modeling Cognitive Development in Robotic Systems. 2012,7(6):108-113. Lund,Sweden,2004:35-42. [15]ZHANG Shaobai,HUANG Dandan.Electroencephalo- [21]KUHL P K,WILLIAMS K A,LACERDA F,et al.Lin- graphy feature extraction using high time frequency reso- guistic experience alters phonetic perception in infants by 6 lution analysis[J].Indonesian Journal of Electrical Engi- months of age[J].Science,1992(255):606-608. neering,2012,10(6):1415-1421. 作者简介： [16]ZHANG Shaobai,HAN Yanbin,LI Jinping,et al.Research 张少白，男，1953年生，主要研究方 on improved mean shift algorithm based on local distribu- 向为智能系统与模式识别.主持国家级 tion in EEG signal classification[J].Journal of Artificial 项目多项.发表学术论文多篇 Intelligence Research,2012,3(3):117-122 [17]ZHANG Shaobai,CHENG Weiqing.An application of cer- ebellar control model for prehension movements[J].Neural Computing and Application,DOI:10.1007/s 00521-012- 1335-1. 刘欣，男，1987年生，主要研究方向 [18]SMITH R.Speech production2:models of speech produc- 为模式识别与智能系统。 tion,foundations of speech communication EB/OL]. [2013-02-24].htp:/www.ling.cam.ac.uk/1i9/L4_0910_ SpeechProduction2.pdf. [19]LACERDA F,KLINTFORS E,GUSTAVSSON L.Multi- sensory information as an improvement for communication 2013年第13届英国计算智能研讨会 2013 13th UK Workshop on Computational Intelligence (UKCI) The 13th Annual Workshop on Computational Intelligence will be hosted by the University of Surrey,from September 9- 11,2013.UKCI is the premier UK and Ireland event for presenting leading research on all aspects of computational intelli- gence. The workshop aims to provide a forum for academic researchers to share research progresses and discuss emerging topics and future directions in the field of computational intelligence.Equally important,this workshop intends to demonstrate successful case studies,identify challenges and bridge the gap between theory and practice in applying computational in- telligence to solving real-world problems.The workshop will consist of regular sessions,special sessions and keynote talks from leading researchers in the field of computational intelligence. Topics The authors are invited to submit their original work in all areas of computational intelligence and nature-inspired compu- ting including,but not limited to the following:neural networks,computational and cognitive neuroscience,learning sys- tems,machine learning;fuzzy logic,fuzzy systems,type-2 fuzzy systems,approximate reasoning;evolutionary compu- ting,evolutionary algorithms,differential evolution,swarm intelligence,ant colony optimisation,artificial immune sys- tems,memetic computing;multi-agent systems,games,data mining,web intelligence,intelligent control,intelligent sig- nal processing,morphogenetic self-organisation and evolutionary developmental robotics.Applications of computational in- telligence techniques to bioinformatics and computational biology,brain-machine interface,digital eco-systems,healthcare and medical engineering,multi-media security and cyber security,robotics,design and manufacturing,energy and envi- ronment are particularly welcome. Website:http://ukci2013.cs.surrey.ac.uk/ｍｏｄｅｌｉｎｇ ａｎｄ ｉｍａｇｉｎｇ ｏｆ ｔｈｅ ｃｏｒｔｉｃａｌ ｉｎｔｅｒａｃｔｉｏｎｓ ｕｎｄｅｒｌｙｉｎｇ ｓｙｌｌａｂｌｅ ｐｒｏｄｕｃｔｉｏｎ ［ Ｊ］． Ｂｒａｉｎ ａｎｄ Ｌａｎｇｕａｇｅ， ２００６， ９６ （３）： ２８０⁃３０１． ［１４］ＺＨＡＮＧ Ｓｈａｏｂａｉ， ＸＵ Ｌｅｉ， ＣＨＥＮＧ Ｘｉｅｆｅｎｇ． Ｒｅｓｅａｒｃｈ ｏｎ ｃｌａｓｓｉｆｉｃａｔｉｏｎ ｍｅｔｈｏｄ ｏｆ ｓｐｅｅｃｈ ｓｉｇｎａｌ ｂａｓｅｄ ｏｎ ＤＩＶＡ ｍｏｄ⁃ ｅｌ［ Ｊ］． Ｉｎｔｅｒｎａｔｉｏｎａｌ Ｒｅｖｉｅｗ ｏｎ Ｃｏｍｐｕｔｅｒｓ ａｎｄ Ｓｏｆｔｗａｒｅ， ２０１２， ７ （６）： １０８⁃１１３． ［ １５ ］ ＺＨＡＮＧ Ｓｈａｏｂａｉ， ＨＵＡＮＧ Ｄａｎｄａｎ． Ｅｌｅｃｔｒｏｅｎｃｅｐｈａｌｏ⁃ ｇｒａｐｈｙ ｆｅａｔｕｒｅ ｅｘｔｒａｃｔｉｏｎ ｕｓｉｎｇ ｈｉｇｈ ｔｉｍｅ ｆｒｅｑｕｅｎｃｙ ｒｅｓｏ⁃ ｌｕｔｉｏｎ ａｎａｌｙｓｉｓ［Ｊ］． Ｉｎｄｏｎｅｓｉａｎ Ｊｏｕｒｎａｌ ｏｆ Ｅｌｅｃｔｒｉｃａｌ Ｅｎｇｉ⁃ ｎｅｅｒｉｎｇ， ２０１２， １０（６）： １４１５⁃１４２１． ［１６］ＺＨＡＮＧ Ｓｈａｏｂａｉ，ＨＡＮ Ｙａｎｂｉｎ，ＬＩ Ｊｉｎｐｉｎｇ，ｅｔ ａｌ． Ｒｅｓｅａｒｃｈ ｏｎ ｉｍｐｒｏｖｅｄ ｍｅａｎ ｓｈｉｆｔ ａｌｇｏｒｉｔｈｍ ｂａｓｅｄ ｏｎ ｌｏｃａｌ ｄｉｓｔｒｉｂｕ⁃ ｔｉｏｎ ｉｎ ＥＥＧ ｓｉｇｎａｌ ｃｌａｓｓｉｆｉｃａｔｉｏｎ［ Ｊ］． Ｊｏｕｒｎａｌ ｏｆ Ａｒｔｉｆｉｃｉａｌ Ｉｎｔｅｌｌｉｇｅｎｃｅ Ｒｅｓｅａｒｃｈ， ２０１２， ３（３）： １１７⁃１２２． ［１７］ＺＨＡＮＧ Ｓｈａｏｂａｉ， ＣＨＥＮＧ Ｗｅｉｑｉｎｇ． Ａｎ ａｐｐｌｉｃａｔｉｏｎ ｏｆ ｃｅｒ⁃ ｅｂｅｌｌａｒ ｃｏｎｔｒｏｌ ｍｏｄｅｌ ｆｏｒ ｐｒｅｈｅｎｓｉｏｎ ｍｏｖｅｍｅｎｔｓ［Ｊ］． Ｎｅｕｒａｌ Ｃｏｍｐｕｔｉｎｇ ａｎｄ Ａｐｐｌｉｃａｔｉｏｎ， ＤＯＩ：１０． １００７ ／ ｓ ００５２１⁃０１２⁃ １３３５⁃１． ［１８］ＳＭＩＴＨ Ｒ． Ｓｐｅｅｃｈ ｐｒｏｄｕｃｔｉｏｎ２： ｍｏｄｅｌｓ ｏｆ ｓｐｅｅｃｈ ｐｒｏｄｕｃ⁃ ｔｉｏｎ， ｆｏｕｎｄａｔｉｏｎｓ ｏｆ ｓｐｅｅｃｈ ｃｏｍｍｕｎｉｃａｔｉｏｎ ［ ＥＢ／ ＯＬ ］． ［２０１３⁃０２⁃２４］． ｈｔｔｐ： ／ ／ ｗｗｗ．ｌｉｎｇ．ｃａｍ．ａｃ．ｕｋ ／ ｌｉ９ ／ Ｌ４＿０９１０＿ ＳｐｅｅｃｈＰｒｏｄｕｃｔｉｏｎ２．ｐｄｆ． ［１９］ ＬＡＣＥＲＤＡ Ｆ， ＫＬＩＮＴＦＯＲＳ Ｅ， ＧＵＳＴＡＶＳＳＯＮ Ｌ． Ｍｕｌｔｉ⁃ ｓｅｎｓｏｒｙ ｉｎｆｏｒｍａｔｉｏｎ ａｓ ａｎ ｉｍｐｒｏｖｅｍｅｎｔ ｆｏｒ ｃｏｍｍｕｎｉｃａｔｉｏｎ ｓｙｓｔｅｍｓ’ ｅｆｆｉｃｉｅｎｃｙ［Ｃ］ ／ ／ Ｐｒｏｃｅｅｄｉｎｇｓ ｆｒｏｍ Ｆｏｎｅｔｉｋ ２００５． Ｇｏｔｈｅｎｂｕｒｇ， Ｓｗｅｄｅｎ， ２００５： ８３⁃８６． ［２０］ＣＨＥＮ Ｙ， ＷＥＮＧ Ｊ． Ｄｅｖｅｌｏｐｍｅｎｔａｌ ｌｅａｒｎｉｎｇ： ａ ｃａｓｅ ｓｔｕｄｙ ｉｎ ｕｎｄｅｒｓｔａｎｄｉｎｇ “ ｏｂｊｅｃｔ ｐｅｒｍａｎｅｎｃｅ” ［Ｃ］ ／ ／ Ｐｒｏｃｅｅｄｉｎｇｓ ｏｆ Ｆｏｕｒｔｈ Ｉｎｔｅｒｎａｔｉｏｎａｌ Ｗｏｒｋｓｈｏｐ ｏｎ Ｅｐｉｇｅｎｅｔｉｃ Ｒｏｂｏｔｉｃｓ： Ｍｏｄｅｌｉｎｇ Ｃｏｇｎｉｔｉｖｅ Ｄｅｖｅｌｏｐｍｅｎｔ ｉｎ Ｒｏｂｏｔｉｃ Ｓｙｓｔｅｍｓ． Ｌｕｎｄ， Ｓｗｅｄｅｎ， ２００４： ３５⁃４２． ［２１］ＫＵＨＬ Ｐ Ｋ， ＷＩＬＬＩＡＭＳ Ｋ Ａ， ＬＡＣＥＲＤＡ Ｆ， ｅｔ ａｌ． Ｌｉｎ⁃ ｇｕｉｓｔｉｃ ｅｘｐｅｒｉｅｎｃｅ ａｌｔｅｒｓ ｐｈｏｎｅｔｉｃ ｐｅｒｃｅｐｔｉｏｎ ｉｎ ｉｎｆａｎｔｓ ｂｙ ６ ｍｏｎｔｈｓ ｏｆ ａｇｅ［Ｊ］． Ｓｃｉｅｎｃｅ， １９９２（２５５）： ６０６⁃６０８． 作者简介： 张少白，男，１９５３ 年生，主要研究方 向为智能系统与模式识别．主持国家级 项目多项．发表学术论文多篇． 刘欣，男，１９８７ 年生，主要研究方向 为模式识别与智能系统． ２０１３ 年第 １３ 届英国计算智能研讨会 ２０１３ １３ｔｈ ＵＫ Ｗｏｒｋｓｈｏｐ ｏｎ Ｃｏｍｐｕｔａｔｉｏｎａｌ Ｉｎｔｅｌｌｉｇｅｎｃｅ （ＵＫＣＩ） Ｔｈｅ １３ｔｈ Ａｎｎｕａｌ Ｗｏｒｋｓｈｏｐ ｏｎ Ｃｏｍｐｕｔａｔｉｏｎａｌ Ｉｎｔｅｌｌｉｇｅｎｃｅ ｗｉｌｌ ｂｅ ｈｏｓｔｅｄ ｂｙ ｔｈｅ Ｕｎｉｖｅｒｓｉｔｙ ｏｆ Ｓｕｒｒｅｙ， ｆｒｏｍ Ｓｅｐｔｅｍｂｅｒ ９⁃ １１， ２０１３． ＵＫＣＩ ｉｓ ｔｈｅ ｐｒｅｍｉｅｒ ＵＫ ａｎｄ Ｉｒｅｌａｎｄ ｅｖｅｎｔ ｆｏｒ ｐｒｅｓｅｎｔｉｎｇ ｌｅａｄｉｎｇ ｒｅｓｅａｒｃｈ ｏｎ ａｌｌ ａｓｐｅｃｔｓ ｏｆ ｃｏｍｐｕｔａｔｉｏｎａｌ ｉｎｔｅｌｌｉ⁃ ｇｅｎｃｅ． Ｔｈｅ ｗｏｒｋｓｈｏｐ ａｉｍｓ ｔｏ ｐｒｏｖｉｄｅ ａ ｆｏｒｕｍ ｆｏｒ ａｃａｄｅｍｉｃ ｒｅｓｅａｒｃｈｅｒｓ ｔｏ ｓｈａｒｅ ｒｅｓｅａｒｃｈ ｐｒｏｇｒｅｓｓｅｓ ａｎｄ ｄｉｓｃｕｓｓ ｅｍｅｒｇｉｎｇ ｔｏｐｉｃｓ ａｎｄ ｆｕｔｕｒｅ ｄｉｒｅｃｔｉｏｎｓ ｉｎ ｔｈｅ ｆｉｅｌｄ ｏｆ ｃｏｍｐｕｔａｔｉｏｎａｌ ｉｎｔｅｌｌｉｇｅｎｃｅ． Ｅｑｕａｌｌｙ ｉｍｐｏｒｔａｎｔ， ｔｈｉｓ ｗｏｒｋｓｈｏｐ ｉｎｔｅｎｄｓ ｔｏ ｄｅｍｏｎｓｔｒａｔｅ ｓｕｃｃｅｓｓｆｕｌ ｃａｓｅ ｓｔｕｄｉｅｓ， ｉｄｅｎｔｉｆｙ ｃｈａｌｌｅｎｇｅｓ ａｎｄ ｂｒｉｄｇｅ ｔｈｅ ｇａｐ ｂｅｔｗｅｅｎ ｔｈｅｏｒｙ ａｎｄ ｐｒａｃｔｉｃｅ ｉｎ ａｐｐｌｙｉｎｇ ｃｏｍｐｕｔａｔｉｏｎａｌ ｉｎ⁃ ｔｅｌｌｉｇｅｎｃｅ ｔｏ ｓｏｌｖｉｎｇ ｒｅａｌ⁃ｗｏｒｌｄ ｐｒｏｂｌｅｍｓ． Ｔｈｅ ｗｏｒｋｓｈｏｐ ｗｉｌｌ ｃｏｎｓｉｓｔ ｏｆ ｒｅｇｕｌａｒ ｓｅｓｓｉｏｎｓ， ｓｐｅｃｉａｌ ｓｅｓｓｉｏｎｓ ａｎｄ ｋｅｙｎｏｔｅ ｔａｌｋｓ ｆｒｏｍ ｌｅａｄｉｎｇ ｒｅｓｅａｒｃｈｅｒｓ ｉｎ ｔｈｅ ｆｉｅｌｄ ｏｆ ｃｏｍｐｕｔａｔｉｏｎａｌ ｉｎｔｅｌｌｉｇｅｎｃｅ． Ｔｏｐｉｃｓ Ｔｈｅ ａｕｔｈｏｒｓ ａｒｅ ｉｎｖｉｔｅｄ ｔｏ ｓｕｂｍｉｔ ｔｈｅｉｒ ｏｒｉｇｉｎａｌ ｗｏｒｋ ｉｎ ａｌｌ ａｒｅａｓ ｏｆ ｃｏｍｐｕｔａｔｉｏｎａｌ ｉｎｔｅｌｌｉｇｅｎｃｅ ａｎｄ ｎａｔｕｒｅ⁃ｉｎｓｐｉｒｅｄ ｃｏｍｐｕ⁃ ｔｉｎｇ ｉｎｃｌｕｄｉｎｇ， ｂｕｔ ｎｏｔ ｌｉｍｉｔｅｄ ｔｏ ｔｈｅ ｆｏｌｌｏｗｉｎｇ： ｎｅｕｒａｌ ｎｅｔｗｏｒｋｓ， ｃｏｍｐｕｔａｔｉｏｎａｌ ａｎｄ ｃｏｇｎｉｔｉｖｅ ｎｅｕｒｏｓｃｉｅｎｃｅ， ｌｅａｒｎｉｎｇ ｓｙｓ⁃ ｔｅｍｓ， ｍａｃｈｉｎｅ ｌｅａｒｎｉｎｇ； ｆｕｚｚｙ ｌｏｇｉｃ， ｆｕｚｚｙ ｓｙｓｔｅｍｓ， ｔｙｐｅ⁃２ ｆｕｚｚｙ ｓｙｓｔｅｍｓ， ａｐｐｒｏｘｉｍａｔｅ ｒｅａｓｏｎｉｎｇ； ｅｖｏｌｕｔｉｏｎａｒｙ ｃｏｍｐｕ⁃ ｔｉｎｇ， ｅｖｏｌｕｔｉｏｎａｒｙ ａｌｇｏｒｉｔｈｍｓ， ｄｉｆｆｅｒｅｎｔｉａｌ ｅｖｏｌｕｔｉｏｎ， ｓｗａｒｍ ｉｎｔｅｌｌｉｇｅｎｃｅ， ａｎｔ ｃｏｌｏｎｙ ｏｐｔｉｍｉｓａｔｉｏｎ， ａｒｔｉｆｉｃｉａｌ ｉｍｍｕｎｅ ｓｙｓ⁃ ｔｅｍｓ， ｍｅｍｅｔｉｃ ｃｏｍｐｕｔｉｎｇ； ｍｕｌｔｉ⁃ａｇｅｎｔ ｓｙｓｔｅｍｓ， ｇａｍｅｓ， ｄａｔａ ｍｉｎｉｎｇ， ｗｅｂ ｉｎｔｅｌｌｉｇｅｎｃｅ， ｉｎｔｅｌｌｉｇｅｎｔ ｃｏｎｔｒｏｌ， ｉｎｔｅｌｌｉｇｅｎｔ ｓｉｇ⁃ ｎａｌ ｐｒｏｃｅｓｓｉｎｇ， ｍｏｒｐｈｏｇｅｎｅｔｉｃ ｓｅｌｆ⁃ｏｒｇａｎｉｓａｔｉｏｎ ａｎｄ ｅｖｏｌｕｔｉｏｎａｒｙ ｄｅｖｅｌｏｐｍｅｎｔａｌ ｒｏｂｏｔｉｃｓ． Ａｐｐｌｉｃａｔｉｏｎｓ ｏｆ ｃｏｍｐｕｔａｔｉｏｎａｌ ｉｎ⁃ ｔｅｌｌｉｇｅｎｃｅ ｔｅｃｈｎｉｑｕｅｓ ｔｏ ｂｉｏｉｎｆｏｒｍａｔｉｃｓ ａｎｄ ｃｏｍｐｕｔａｔｉｏｎａｌ ｂｉｏｌｏｇｙ， ｂｒａｉｎ⁃ｍａｃｈｉｎｅ ｉｎｔｅｒｆａｃｅ， ｄｉｇｉｔａｌ ｅｃｏ⁃ｓｙｓｔｅｍｓ， ｈｅａｌｔｈｃａｒｅ ａｎｄ ｍｅｄｉｃａｌ ｅｎｇｉｎｅｅｒｉｎｇ， ｍｕｌｔｉ⁃ｍｅｄｉａ ｓｅｃｕｒｉｔｙ ａｎｄ ｃｙｂｅｒ ｓｅｃｕｒｉｔｙ， ｒｏｂｏｔｉｃｓ， ｄｅｓｉｇｎ ａｎｄ ｍａｎｕｆａｃｔｕｒｉｎｇ， ｅｎｅｒｇｙ ａｎｄ ｅｎｖｉ⁃ ｒｏｎｍｅｎｔ ａｒｅ ｐａｒｔｉｃｕｌａｒｌｙ ｗｅｌｃｏｍｅ． Ｗｅｂｓｉｔｅ：ｈｔｔｐ： ／ ／ ｕｋｃｉ２０１３．ｃｓ．ｓｕｒｒｅｙ．ａｃ．ｕｋ ／ 第 ４ 期 张少白，等：基于 ＤＩＶＡ 模型的语音－映射单元自动获取 ·３１１·