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POS induction with distributional and morphological information using a distance-dependent Chinese Restaurant Process
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Semantic title evaluation and recommendation based on topic models
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A Summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition
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Whyisenglishsoeasytosegment? ; Why is English so easy to segment?
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Dynamic 3-D visualization of vocal tract shaping during speech
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Abstract:
Noninvasive imaging is widely used in speech research as a means to investigate the shaping and dynamics of the vocal tract during speech production. 3-D dynamic MRI would be a major advance, as it would provide 3-D dynamic visualization of the entire vocal tract. We present a novel method for the creation of 3-D dynamic movies of vocal tract shaping based on the acquisition of 2-D dynamic data from parallel slices and temporal alignment of the image sequences using audio information. Multiple sagittal 2-D real-time movies with synchronized audio recordings are acquired for English vowel-consonant-vowel stimuli /ala/, /ara/, /asa/, and /a∫a/. Audio data are aligned using mel-frequency cepstral coefficients (MFCC) extracted from windowed intervals of the speech signal. Sagittal image sequences acquired from all slices are then aligned using dynamic time warping (DTW). The aligned image sequences enable dynamic 3-D visualization by creating synthesized movies of the moving airway in the coronal planes, visualizing desired tissue surfaces and tube-shaped vocal tract airway after manual segmentation of targeted articulators and smoothing. The resulting volumes allow for dynamic 3-D visualization of salient aspects of lingual articulation, including the formation of tongue grooves and sublingual cavities, with a temporal resolution of 78 ms. ; 11 page(s)
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Keyword:
080100 Artificial Intelligence and Image Processing; Articulation; dynamic time warping; real-time magnetic resonance imaging (MRI); retrospective gating; speech production; vocal tract shaping
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URL: http://hdl.handle.net/1959.14/230894
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Working with a small dataset - semi-supervised dependency parsing for Irish
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A Joint model of word segmentation and phonological variation for English word-final t-deletion
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Parsing entire discourses as very long strings : capturing topic continuity in grounded language learning
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A Non-monotonic Arc-Eager transition system for dependency parsing
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Modeling graph languages with grammars extracted via tree decompositions
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Learning from OzCLO, the Australian Computational and Linguistics Olympiad
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The effect of non-tightness on Bayesian estimation of PCFGs
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Exploring adaptor grammars for native language identification
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