Principal Component Analysis

method ID: principalcomponentanalysis

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. This paper describes an automatic summarization approach that constructs a summary by extracting the significant sentences. The approach takes advantage of the cooccurrence relationships between terms only in the …...

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Affective Intonation-Modeling for Mandarin Based on PCA

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The speech fundamental frequency (henceforth F0) contour plays an important role in expressing the affective information of an utterance. The most popular F0 modeling approaches mainly use the concept of …...

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Towards an Improved Methodology for Automated Readability Prediction

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AbstractSince the first half of the 20th century, readability formulas have been widely employed to automatically predict the readability of an unseen text. In this article, the formulas and the …...

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Analyse en Composante Principale pour l’extraction des i-vecteurs en vérification du locuteur (Principal Component Analysis for i-vector extraction in speaker verification.) [in French]

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Normalisation articulatoire du locuteur par méthodes de décomposition tri-linéaire basées sur des données IRM (Articulatory speaker normalisation based on MRI-data using three-way linear decomposition methods) [in French]

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________________________________________________________________________________________________ Articulatory speaker normalisation based on MRI-data using three-way linear decomposition methods The aim of this study was to characterise, to model and to compare the different lingual articulatory strategies …...

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