Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Colin Lea"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/d49e071ab1dc49b58f5b2dbaef7cc05d
Autor:
Colin Lea, Zifang Huang, Jaya Narain, Lauren Tooley, Dianna Yee, Dung Tien Tran, Panayiotis Georgiou, Jeffrey P Bigham, Leah Findlater
Consumer speech recognition systems do not work as well for many people with speech diferences, such as stuttering, relative to the rest of the general population. However, what is not clear is the degree to which these systems do not work, how they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::805fb7085be8e550f315dd326467a8e9
http://arxiv.org/abs/2302.09044
http://arxiv.org/abs/2302.09044
Autor:
Sachin S. Kajarekar, Vikramjit Mitra, Panayiotis G. Georgiou, Jeffrey P. Bigham, Darren Botten, Sarah Wu, Lauren Tooley, Zifang Huang, Ashwini Palekar, Colin Lea, Shrinath Thelapurath
Dysfluencies and variations in speech pronunciation can severely degrade speech recognition performance, and for many individuals with moderate-to-severe speech disorders, voice operated systems do not work. Current speech recognition systems are tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c01e4ccd12224326af85ba77852e0b70
http://arxiv.org/abs/2106.11759
http://arxiv.org/abs/2106.11759
Publikováno v:
ICASSP
The ability to automatically detect stuttering events in speech could help speech pathologists track an individual's fluency over time or help improve speech recognition systems for people with atypical speech patterns. Despite increasing interest in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::164ca084ad111fd7de368facb32057f0
https://doi.org/10.1109/icassp39728.2021.9413520
https://doi.org/10.1109/icassp39728.2021.9413520
Publikováno v:
WACV
Codec Avatars are a recent class of learned, photorealistic face models that accurately represent the geometry and texture of a person in 3D (i.e., for virtual reality), and are almost indistinguishable from video [28]. In this paper we describe the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4289dcf67d8ab826a42ac2432121efb
Autor:
Sachin Patil, Colin Lea, Sanjay Krishnan, Gregory D. Hager, Ken Goldberg, Pieter Abbeel, Animesh Garg
Publikováno v:
The International Journal of Robotics Research. 36:1595-1618
Demonstration trajectories collected from a supervisor in teleoperation are widely used for robot learning, and temporally segmenting the trajectories into shorter, less-variable segments can improve the efficiency and reliability of learning algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d23fd56eac1c1e69148146d8551aa75
https://doi.org/10.1177/0278364917743319
https://doi.org/10.1177/0278364917743319
Autor:
Narges Ahmidi, Lingling Tao, Shahin Sefati, Sanjeev Khudanpur, Colin Lea, Gregory D. Hager, Yixin Gao, Luca Zappella, René Vidal, Benjamin Bejar Haro
Publikováno v:
IEEE Transactions on Biomedical Engineering. 64:2025-2041
Objective : State-of-the-art techniques for surgical data analysis report promising results for automated skill assessment and action recognition. The contributions of many of these techniques, however, are limited to study-specific data and validati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ece51c2607f9208357fb08b882b2ce27
https://doi.org/10.1109/tbme.2016.2647680
https://doi.org/10.1109/tbme.2016.2647680
Autor:
Animesh Garg, Pieter Abbeel, Colin Lea, Gregory D. Hager, Ken Goldberg, Sanjay Krishnan, Sachin Patil
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783319609157
A large and growing corpus of synchronized kinematic and video recordings of robot-assisted surgery has the potential to facilitate training and subtask automation. One of the challenges in segmenting such multi-modal trajectories is that demonstrati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26680a890dbb2820b7299ddd7b755db8
https://doi.org/10.1007/978-3-319-60916-4_6
https://doi.org/10.1007/978-3-319-60916-4_6
Publikováno v:
CVPR
The ability to identify and temporally segment fine-grained human actions throughout a video is crucial for robotics, surveillance, education, and beyond. Typical approaches decouple this problem by first extracting local spatiotemporal features from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5211216390d78c9b3ec90a2f683c3f46
https://doi.org/10.1109/cvpr.2017.113
https://doi.org/10.1109/cvpr.2017.113
Publikováno v:
IROS
There are many applications where domain-specific sensing, such as accelerometers, kinematics, or force sensing, provide unique and important information for control or for analysis of motion. However, it is not always the case that these sensors can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07108d6f5ba2422b92da890c3a93f811
https://doi.org/10.1109/iros.2016.7759769
https://doi.org/10.1109/iros.2016.7759769