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Hits 21 – 40 of 1.087

21	THERE ARE DIFFERENT SPATIAL CONSTRUALS OF TIME
	Benjamin K. Bergen; Ting Ting; Chan Lau...
	In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/ad/f3/Front_Psychol_2012_Apr_10_3_109.tar.gz (2012)
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22	Resolving syntactic ambiguities in natural language specification of constraints
	Imran Sarwar Bajwa; Mark Lee; Behzad Bordbar
	In: http://www.cs.bham.ac.uk/~isb855/papers/CICLING_2012.pdf (2012)
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23	Speech-Centric Information Processing: An Optimization-Oriented Approach
	Xiaodong He; Li Deng
	In: http://research.microsoft.com/pubs/179540/ProcIEEE_He_deng_finalsub.pdf (2012)
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24	• Learner Centeredness and Needs • Portfolio Development for Teachers
	Dr. Hetal J. Mehta; Syllabus Design; Materials Development
	In: http://www.theglobaljournals.com/ijar/file.php?val%3DSeptember_2012_1356963687_f9c75_41.pdf (2012)
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25	• Learner Centeredness and Needs • Portfolio Development for Teachers
	Dr. Hetal J. Mehta; Syllabus Design; Materials Development
	In: http://www.theglobaljournals.com/ijar/recent_issues_pdf/September_2012_1356963687_f9c75_41.pdf (2012)
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26	ANN and Rule Based Method for English to Arabic Machine Translation
	Marwan Akeel; Ravi Mishra
	In: http://www.ccis2k.org/iajit/PDF/vol.11,no.4/5308.pdf (2012)
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27	Association for Academic Language and Learning
	Neil Murray
	In: http://journal.aall.org.au/index.php/jall/article/viewFile/135/128/ (2012)
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28	Authentic Cultural and Linguistic Learning through Practicum in a Nursing Home
	Martin Andrew
	In: http://www.tesl-ej.org/pdf/ej61/a2.pdf (2012)
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29	ANDRÁS IMRÉNYI
	In: http://www.uk-cla.org.uk/files/proceedings/Imrenyi.pdf (2012)
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30	ANN and Rule Based Method for English to Arabic Machine Translation IAJIT First Online Publication
	Marwan Akeel; Ravi Mishra. - 2012
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31	Status: Under Review
	M. Keith Chen
	In: http://faculty.som.yale.edu/keithchen/papers/LanguageWorkingPaper.pdf (2012)
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32	Available Online at www.warse.ijatcse.current Impact of Technology on Teens ’ Written Language
	Adnan Omar; Muhammed Miah
	In: http://warse.org/info/ijatcse02112012.pdf (2012)
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33	By
	Jinsun Choe; Bonnie D. Schwartz; Shinichiro Fukuda...
	In: http://www.ling.hawaii.edu/graduate/Dissertations/JinsunChoeFinal.pdf (2012)
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34	The Corpus of Academic Learner English (CALE): A new resource for the study of lexico-grammatical variation in advanced learner varieties
	Marcus Callies; Ekaterina Zaytseva
	In: http://www.staff.uni-mainz.de/mcallies/papers/Callies%26Zaytseva2011.pdf (2011)
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35	Towards the Annotation of Communicative Structure in Corpora
	Alicia Burga; Simon Mille; Leo Wanner
	In: http://meaningtext.net/mtt2011/proceedings/papers/BurgaMilleWanner.pdf (2011)
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36	EVALUATION OF INTELLIGIBILITY AND SPEAKER SIMILARITY OF
	Anusha Raghunathan
	In: http://uknowledge.uky.edu/cgi/viewcontent.cgi?article%3D1099%26context%3Dgradschool_theses (2011)
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37	L1 transfer in article selection for generic reference by Spanish, Turkish and Japanese L2 learners
	English Studies Ijes; Neal Snape; María Del...
	In: http://revistas.um.es/ijes/article/download/138701/147991/ (2011)
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38	Translation Rules and ANN Based Model for English to Urdu Machine Translation
	R. B. Mishra
	In: http://www.dcc.ufla.br/infocomp/images/artigos/v10.3/art04.pdf (2011)
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39	Forensic Voice Comparison using Chinese /iau
	Cuiling Zhang; Geoffrey Stewart Morrison; Tharmarajah Thiruvaran
	In: http://geoff-morrison.net/documents/Zhang,+Morrison,+Thiruvaran+%282011%29+Forensic+voice+comparison+using+Chinese+-iau-.pdf (2011)
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40	Voice Recognition using HMM with MFCC for secure ATM”,IJCS Vol.8,Issue 6
	Shumaila Iqbal; Tahira Mahboob; Malik Sik; Ar Hayat Khiyal
	In: http://www.ijcsi.org/papers/IJCSI-8-6-3-297-303.pdf (2011)
	Abstract: Security is an essential part of human life. In this era security is a huge issue that is reliable and efficient if it is unique by any mean. Voice recognition is one of the security measures that are used to provide protection to human’s computerized and electronic belongings by his voice. In this paper voice sample is observed with MFCC for extracting acoustic features and then used to trained HMM parameters through forward backward algorithm which lies under HMM and finally the computed log likelihood from training is stored to database. It will recognize the speaker by comparing the log value from the database against the PIN code. It is implemented in Matlab 7.0 environment and showing 86.67 % results as correct acceptance and correct rejections with the error rate of
	Keyword: Discrete Cosine Transform; Fast Fourier Transform; Forward Backward algorithm; Hidden Markov Modeling; K-mean algorithm; Mel Frequency Cepstral coefficients; Voice recognition
	URL: http://www.ijcsi.org/papers/IJCSI-8-6-3-297-303.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.403.3592
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