Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sina Hamidi Ghalehjegh"'
Autor:
Mahsa Taghiakbari, Sina Hamidi Ghalehjegh, Emmanuel Jehanno, Tess Berthier, Lisa di Jorio, Saber Ghadakzadeh, Alan Barkun, Mark Takla, Mickael Bouin, Eric Deslandres, Simon Bouchard, Sacha Sidani, Yoshua Bengio, Daniel von Renteln
Publikováno v:
Journal of the Canadian Association of Gastroenterology.
Background and aims Identification and photo-documentation of the ileocecal valve (ICV) and appendiceal orifice (AO) confirm completeness of colonoscopy examinations. We aimed to develop and test a deep convolutional neural network (DCNN) model that
Autor:
Tonya Kaltenbach, Amit Rastogi, Neal Shahidi, Michael F. Byrne, Douglas K. Rex, Sina Hamidi Ghalehjegh
Publikováno v:
Gastroenterology. 158(3)
Autor:
Sina Hamidi Ghalehjegh, Andrew Jesson, Damien Goblot, Nicolas Guizard, Florian Soudan, Nicolas Chapados
Publikováno v:
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 ISBN: 9783319661780
We introduce CASED, a novel curriculum sampling algorithm that facilitates the optimization of deep learning segmentation or detection models on data sets with extreme class imbalance. We evaluate the CASED learning framework on the task of lung nodu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a596904421c8de8331b98efd28045241
https://doi.org/10.1007/978-3-319-66179-7_73
https://doi.org/10.1007/978-3-319-66179-7_73
Autor:
Richard Rose, Sina Hamidi Ghalehjegh
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 22:1391-1402
This paper presents a study of two acoustic speaker adaptation techniques applied in the context of the subspace Gaussian mixture model (SGMM) for automatic speech recognition (ASR). First, a model space linear regression based approach is presented
Publikováno v:
Speech Communication. 56:167-180
In developing speech recognition based services for any task domain, it is necessary to account for the support of an increasing number of languages over the life of the service. This paper considers a small vocabulary speech recognition task in mult
Autor:
Rachel E. Lahr, Nicolas Guizard, Neal Shahidi, Liqiang Ding, DK Rex, Sina Hamidi Ghalehjegh, Florent Chandelier, Garcia R. Jonathan, Milagros L. Henkel, Michael F. Byrne
Publikováno v:
Gastroenterology. 156:S-48
Publikováno v:
Signal Processing. 92:1875-1885
In this paper, which is an extended version of our work at LVA/ICA 2010 [1], the problem of Inter Symbol Interface (ISI) Sparse channel estimation and equalization will be investigated. We firstly propose an adaptive method based on the idea of Least
Autor:
Sina Hamidi Ghalehjegh, Richard Rose
Publikováno v:
ASRU
This paper describes the application of deep neural networks (DNNs), trained to discriminate among speakers, to improving performance in text-independent speaker verification. Activations from the bottleneck layer of these DNNs are used as features i
Autor:
Michael F. Byrne, Andrew W. Sullivan, Nicolas Chapados, Margaret E. MacPhail, Clemens Oertel, Sébastien Giguère, Sina Hamidi Ghalehjegh, Florent Chandelier, Florian Soudan, Francisco J. Echagüe, Nicolas Guizard, Douglas K. Rex, Milagros L. Henkel
Publikováno v:
Gastrointestinal Endoscopy. 87:AB475
Autor:
Sina Hamidi Ghalehjegh, Richard Rose
Publikováno v:
ICASSP
A two-stage speaker adaptation approach is proposed for the subspace Gaussian mixture model (SGMM) [1] in large vocabulary automatic speech recognition (ASR). The SGMM differs from the more well known continuous density hidden Markov model (CDHMM) in