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of 566
pro vyhledávání: '"Stone , Maureen"'
Visualization linters are end-user facing evaluators that automatically identify potential chart issues. These spell-checker like systems offer a blend of interpretability and customization that is not found in other forms of automated assistance. Ho
Externí odkaz:
http://arxiv.org/abs/2407.21285
Autor:
Liu, Xiaofeng, Xing, Fangxu, Zhuo, Jiachen, Stone, Maureen, Prince, Jerry L., Fakhri, Georges El, Woo, Jonghye
Understanding the relationship between tongue motion patterns during speech and their resulting speech acoustic outcomes -- i.e., articulatory-acoustic relation -- is of great importance in assessing speech quality and developing innovative treatment
Externí odkaz:
http://arxiv.org/abs/2402.06984
Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer
Autor:
Liu, Xiaofeng, Xing, Fangxu, Stone, Maureen, Zhuo, Jiachen, Fels, Sidney, Prince, Jerry L., Fakhri, Georges El, Woo, Jonghye
The tongue's intricate 3D structure, comprising localized functional units, plays a crucial role in the production of speech. When measured using tagged MRI, these functional units exhibit cohesive displacements and derived quantities that facilitate
Externí odkaz:
http://arxiv.org/abs/2309.14586
Autor:
Liu, Xiaofeng, Prince, Jerry L., Xing, Fangxu, Zhuo, Jiachen, Timothy, Reese, Stone, Maureen, Fakhri, Georges El, Woo, Jonghye
Self-training is an important class of unsupervised domain adaptation (UDA) approaches that are used to mitigate the problem of domain shift, when applying knowledge learned from a labeled source domain to unlabeled and heterogeneous target domains.
Externí odkaz:
http://arxiv.org/abs/2305.14589
Autor:
Liu, Xiaofeng, Xing, Fangxu, Prince, Jerry L., Stone, Maureen, Fakhri, Georges El, Woo, Jonghye
Investigating the relationship between internal tissue point motion of the tongue and oropharyngeal muscle deformation measured from tagged MRI and intelligible speech can aid in advancing speech motor control theories and developing novel treatment
Externí odkaz:
http://arxiv.org/abs/2302.07203
Autor:
Yu, Jinglun, Shao, Muhan, Bian, Zhangxing, Liang, Xiao, Zhuo, Jiachen, Stone, Maureen, Prince, Jerry L.
Accurate tongue motion estimation is essential for tongue function evaluation. The harmonic phase processing (HARP) method and the phase vector incompressible registration algorithm (PVIRA) based on HARP can generate motion estimates from tagged MRI
Externí odkaz:
http://arxiv.org/abs/2302.04330
Autor:
Liu, Xiaofeng, Xing, Fangxu, Prince, Jerry L., Zhuo, Jiachen, Stone, Maureen, Fakhri, Georges El, Woo, Jonghye
Understanding the underlying relationship between tongue and oropharyngeal muscle deformation seen in tagged-MRI and intelligible speech plays an important role in advancing speech motor control theories and treatment of speech related-disorders. Bec
Externí odkaz:
http://arxiv.org/abs/2206.02284
Autor:
Liu, Xiaofeng, Xing, Fangxu, Prince, Jerry L., Stone, Maureen, Fakhri, Georges El, Woo, Jonghye
Cycle reconstruction regularized adversarial training -- e.g., CycleGAN, DiscoGAN, and DualGAN -- has been widely used for image style transfer with unpaired training data. Several recent works, however, have shown that local distortions are frequent
Externí odkaz:
http://arxiv.org/abs/2202.12474
Autor:
Liu, Xiaofeng, Xing, Fangxu, Stone, Maureen, Zhuo, Jiachen, Timothy, Reese, Prince, Jerry L., Fakhri, Georges El, Woo, Jonghye
Self-training based unsupervised domain adaptation (UDA) has shown great potential to address the problem of domain shift, when applying a trained deep learning model in a source domain to unlabeled target domains. However, while the self-training UD
Externí odkaz:
http://arxiv.org/abs/2106.12499