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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 21 – 27 of 27 21 Multilingual Articulatory Features for Speech Recognition Ore, Brian M. In: Browse all Theses and Dissertations (2007) BASE Show details 22 Patch-based representation of visual speech Patrick Lucey; Sridha Sridharan In: http://crpit.com/confpapers/CRPITV56Lucey2.pdf (2006) BASE Show details 23 An elitist approach to automatic articulatory-acoustic feature classification for phonetic characterization of spoken language. Greenberg, Steven; Chang, Shuangyu; Wester, Mirjam. - : Elsevier, 2005 Abstract: A novel framework for automatic articulatory-acoustic feature extraction has been developed for enhancing the accuracy of place- and manner-of-articulation classification in spoken language. The elitist approach provides a principled means of selecting frames for which multi-layer perception, neural-network classifiers are highly confident. Using this method it is possible to achieve a frame-level accuracy of 93% on elitist frames for manner classification on a corpus of American English sentences passed through a telephone network (NTIMIT). Place-of-articulation information is extracted for each manner class independently, resulting in an appreciable gain in place-feature classification relative to performance for a manner-independent system. A comparable enhancement in classification performance for the elitist approach is evidenced when applied to a Dutch corpus of quasi-spontaneous telephone interactions (VIOS). The elitist framework provides a potential means of automatically annotating a corpus at the phonetic level without recourse to a word-level transcript and could thus be of utility for developing training materials for automatic speech recognition and speech synthesis applications, as well as aid the empirical study of spoken language. Keyword: Articulatory features; Automatic phonetic classification; Multilingual phonetic classification; speech; Speech analysis URL: http://hdl.handle.net/1842/1051 BASE Hide details 24 Palate-referenced Articulatory Features for Acoustic-to-Articulator Inversion An Ji; Michael T. Johnson; Jeffrey Berry... In: http://epublications.marquette.edu/cgi/viewcontent.cgi?article%3D1024%26context%3Dspaud_fac BASE Show details 25 articulatory Mark Kane; Julie Carson-berndsen In: http://www.cngl.ie/drupal/sites/default/files/papers3/Kane2011_LNAI_6704.pdf BASE Show details 26 for academic, not-for profit purposes permitted provided this text is included. Patch-Based Representation of Visual Speech Patrick Lucey; Sridha Sridharan In: http://eprints.qut.edu.au/12844/1/12844.pdf BASE Show details 27 Articulation of Vowel Height in English Front Vowels: An Ultrasound Study D. H. Whalen; Aude Noiray; Ro Bolaños... In: http://www.haskins.yale.edu/conferences/ultrafestv/abstracts/whalen.pdf BASE Show details Page: 1 2

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