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Original Article Charles Spearman: British Behavioral Scientist By
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In: http://human-nature.com/nibbs/03/spearman.pdf (1863)
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383 |
JADT 2004: 7es Journées internationales d’Analyse statistique des Données Textuelles Quantification of Stylistic Traits: A Statistical Approach
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In: http://lexicometrica.univ-paris3.fr/jadt/jadt2004/pdf/JADT_005.pdf
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384 |
Affect Proxies and Ontological Change: A Finance Case Study
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In: http://www.aclweb.org/anthology/W/W12/W12-5311.pdf
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385 |
A COMPARISON OF APPROACHES FOR MODELING PROSODIC FEATURES IN SPEAKER RECOGNITION
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In: http://www.speech.sri.com/cgi-bin/run-distill?papers/icassp2010-ferrer.ps.gz
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386 |
Survey on Sense of Security for Registering Privacy Information to Return Refugee Supporting System
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In: http://cups.cs.cmu.edu/soups/2013/trustbusters2013/Sense_of_Security_Refugee_Supporting_System_Okumura.pdf
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387 |
Constrained Cepstral Speaker Recognition Using Matched UBM and JFA Training
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In: http://www.speech.sri.com/papers/interspeech2011-markers.pdf
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388 |
Mixture of Auto-Associative Neural Networks for Speaker Verification
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In: http://www.clsp.jhu.edu/%7Esamuel/pdfs/speakerid_aann.pdf
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Abstract:
The paper introduces a mixture of auto-associative neural networks for speaker verification. A new objective function based on posterior probabilities of phoneme classes is used for training the mixture. This objective function allows each component of the mixture to model part of the acoustic space corresponding to a broad phonetic class. This paper also proposes how factor analysis can be applied in this setting. The proposed techniques show promising results on a subset of NIST-08 speaker recognition evaluation (SRE) and yield about 10% relative improvement when combined with the state-of-the-art Gaussian Mixture Model i-vector system.
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Keyword:
Factor Analysis; Index Terms; Neural Networks; Speaker Verification
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.226.9518 http://www.clsp.jhu.edu/%7Esamuel/pdfs/speakerid_aann.pdf
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389 |
Factor Structure and Clinical Implications of Child Behavior Checklist/1.5–5 Ratings in a Sample of Girls Adopted from China
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In: http://jpepsy.oxfordjournals.org/content/32/7/807.full.pdf
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390 |
1 FROM THEORIES OF ATTITUDE REPRESENTATION TO QUESTIONNAIRE DESIGN
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In: http://www.uni-koeln.de/phil-fak/psych/allgemeine/downloads/Naumann,Richter,Groeben,Christmann_2000.pdf
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391 |
Social Context Summarization
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In: http://www.cs.cmu.edu/afs/cs/Web/People/ziy/pubs/SIGIR11-Yang-et-al-Social-Context-Summarization.pdf
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392 |
THE EFFECT OF LANGUAGE FACTORS FOR ROBUST SPEAKER RECOGNITION
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In: http://homepages.inf.ed.ac.uk/llu/pdf/effect_lfc.pdf
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ed. by V. Koseska-Toszewa, L. Dimitrova and R. Roszko, SOW Publishing House Interactive Discovery of Ontological Knowledge for Modelling Language Resources
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In: http://www.celta.paris-sorbonne.fr/anasem/papers/miscelanea/AW-Mondilex09InterDisc.pdf
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TEACHER AS A ROLE MODEL AND ITS IMPACT ON THE LIFE OF FEMALE STUDENTS
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In: http://granthaalayah.com/Articles/Vol1Iss1/02_IJRG14_A07_03.pdf
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395 |
www.hrmars.com The Role of “Radical Change ” In Medium-of-Instruction and its Impact on Academic Achievements
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In: http://hrmars.com/hrmars_papers/The_Role_of_%E2%80%9CRadical_Change%E2%80%9D_In_Medium-of-Instruction_and_its_Impact_on_Academic_Achievements.pdf
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122 | P a g e Teachers ’ Work-Family Conflict in Malaysia: Scale Validation
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In: http://thejournalofbusiness.org/index.php/site/article/download/114/113/
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2011b. Social Context Summarization
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In: http://keg.cs.tsinghua.edu.cn/jietang/publications/SIGIR11-Yang-et-al-social-context-summarization.pdf
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