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Deep Lip Reading-A Deep Learning Based Lip-Reading Software for the Hearing Impaired
2019 IEEE R10 Humanitarian Technology Conference (R10-HTC)(47129), 2019Lip reading is the task of decoding and understanding speech from the movement of a speaker's mouth. This can be extremely beneficial for aiding the hearing impaired to ‘listen’ to people who do not know sign language in real-world environments with a lot of noise pollution. Orthodoxically methods have focused mainly on heavy preprocessing.
Mohammed Abid Abrar +5 more
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Deep Dyslexia Is Right-Hemisphere Reading
Brain and Language, 2000Two views exist concerning the proper interpretation of the form of acquired dyslexia known as deep dyslexia: (a) that it represents reading by a multiply damaged left hemisphere reading system; (b) that it represents reading which relies extensively on right-hemisphere orthographic and semantic processing. Price, Howard, Patterson, Warburton, Friston,
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Deep reading: teaching reading in the writing classroom
Higher Education Research & Development, 2018‘Reading,’ Maryanne Wolf has claimed, ‘enables us to try on, identify with, and ultimately enter for a brief time the wholly different perspective of another person’s consciousness.’ This ‘expandin...
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“Global in Spirit”: Deep Reading Transgenre
QED: A Journal in GLBTQ Worldmaking, 2022Abstract In this article, I theorize the notion of “transgenre” in which “trans” indexes multiple possibilities: i.e., an analysis of transgender cultural production through the more explicitly mediated logics of transnational racial capitalism.
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VirNet: Deep attention model for viral reads identification
2018 13th International Conference on Computer Engineering and Systems (ICCES), 2018Metagenomics shows a promising understanding of function and diversity of the microbial communities due to the difficulty of studying microorganism with pure culture isolation. Moreover, the viral identification is considered one of the essential steps in studying microbial communities.
Abdelkareem, A.O. +4 more
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Reading in deep dyslexia is not ideographic
Neurocase, 1980Abstract Reading that is not phonologically mediated is often assumed to be “wholistic” or “ideographic” in nature. This study demonstrates that patients who are unable to read by use of spelling-sound correspondence rules (“deep” or “phonemic” dyslexics) have the capacity to read words presented in unusual configurations (vertical and mixed-case ...
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Lips Reading Using Deep Learning
In this book chapter, we propose a novel deep-learning architecture for lipreading, namely LipReader++. With the integration of a novel algorithm of 3D Convolutional Neural Networks (CNNs) and Transformers, we analyse what is spoken from the visual cues of lip movement and underlying complex features.Yue Cao, Wei Qi Yan
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Lip-Reading Based on Deep Learning Model
2019With the rapid development of computer computing power, deep learning plays a more and more important role in the fields of automatic driving, medical research, industrial automation and so on. In order to improve the accuracy of lip-reading recognition, an algorithm based on the model of lip deep learning was proposed in this paper.
Mei-li Zhu +2 more
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Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
Nature Reviews Drug Discovery, 2023Artem Cherkasov +2 more
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