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1
Articulation of English vowels in running speech : a real-time MRI study
Narayanan, Shrikanth; Proctor, Michael; Lo, Chi Yhun. - : London : International Phonetic Association, 2015
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2
Velic coordination in French nasals : a real-time magnetic resonance imaging study
Proctor, Michael; Goldstein, Louis; Lammert, Adam. - : France : International Speech Communication Association, 2013
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3
Stable articulatory tasks and their variable formation : Tamil retroflex consonants
Smith, Caitlin; Proctor, Michael; Iskarous, Khalil. - : France : International Speech Communication Association, 2013
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4
Vocal tract cross-distance estimation from real-time MRI using region-of-interest analysis
Lammert, Adam; Ramanarayanan, Vikram; Proctor, Michael. - : France : International Speech Communication Association, 2013
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5
Characterizing covert articulation in apraxic speech using real-time MRI
Hagedorn, Christina; Proctor, Michael; Goldstein, Louis. - : Red Hook, NY : International Speech Communication Association, 2012
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6
Direct estimation of articulatory kinematics from real-time magnetic resonance image sequences
Proctor, Michael; Lammert, Adam; Katsamanis, Athanasios. - : International Speech Communication Association, 2011
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7
Automatic analysis of singleton and geminate consonant articulation using real-time magnetic resonance imaging
Hagedorn, Christina; Proctor, Michael; Goldstein, Louis. - : International Speech Communication Association, 2011
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8
A Multimodal real-time MRI articulatory corpus for speech research
Abstract: We present MRI-TIMIT: a large-scale database of synchronized audio and real-time magnetic resonance imaging (rtMRI) data for speech research. The database currently consists of speech data acquired from two male and two female speakers of American English. Subjects' upper airways were imaged in the midsagittal plane while reading the same 460 sentence corpus used in the MOCHA-TIMIT corpus [1]. Accompanying acoustic recordings were phonemically transcribed using forced alignment. Vocal tract tissue boundaries were automatically identified in each video frame, allowing for dynamic quantification of each speaker's midsagittal articulation. The database and companion toolset provide a unique resource with which to examine articulatory-acoustic relationships in speech production. ; 4 page(s)
Keyword: 200400 Linguistics; Large-scale phonetic tools; Multi-modal database; Real-time MRI; Speech corpora; Speech production
URL: http://hdl.handle.net/1959.14/230887
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