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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 BASE Show 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 Abstract: Visual information from a speaker’s mouth region is known to improve automatic speech recognition robustness, especially in the presence of acoustic noise. To date, the vast majority of work in this field has viewed these visual features in a holistic manner, which may not take into account the various changes that occur within articulation (process of changing the shape of the vocal tract using the articulators, i.e lips and jaw). Motivated by the work being conducted in fields of audio-visual automatic speech recognition (AVASR) and face recognition using articulatory features (AFs) and patches respectively, we present a proof of concept paper which represents the mouth region as a ensemble of image patches. Our experiments show that by dealing with the mouth region in this manner, we are able to extract more speech information from the visual domain. For the task of visual-only speaker-independent isolated digit recognition, we were able to improve the relative word error rate by more than 23 % on the CUAVE audio-visual corpus. Keyword: Articulatory Features (AFs; Patches; Visual Speech Recognition (VSR URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.9408 http://eprints.qut.edu.au/12844/1/12844.pdf BASE Hide 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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