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Deep Learning for Visual Speech Analysis: A Survey [article]

Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu
2022 arXiv   pre-print
To push forward future research on visual speech, this paper aims to present a comprehensive review of recent progress in deep learning methods on visual speech analysis.  ...  Over the past five years, numerous deep learning based methods have been proposed to address various problems in this area, especially automatic visual speech recognition and generation.  ...  In 2016, deep learning based VSA methods [26, 27] have vastly outperformed traditional approaches, bringing the VSA into the deep learning era.  ... 
arXiv:2205.10839v1 fatcat:l5m4ohtcvnevrliaiwawg3phjq

Advances and Challenges in Deep Lip Reading [article]

Marzieh Oghbaie, Arian Sabaghi, Kooshan Hashemifard, Mohammad Akbari
2021 arXiv   pre-print
Driven by deep learning techniques and large-scale datasets, recent years have witnessed a paradigm shift in automatic lip reading.  ...  This paper provides a comprehensive survey of the state-of-the-art deep learning based VSR research with a focus on data challenges, task-specific complications, and the corresponding solutions.  ...  Spatial Feature Extractor The main focus of this survey is lip reading systems in deep learning era, accordingly in this section, we first introduce conventional approaches (e.g., handcrafted features)  ... 
arXiv:2110.07879v1 fatcat:eimcuzdz5va3vdlgw2g7y25tki

Enabling Intelligence through Deep Learning using IoT in a Classroom Environment based on a multimodal approach

Lakshaga Jyothi M, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
The major success of any technological evolution is based on its full-fledged implementation to fit the society in the broader concern.  ...  Many researchers of the past have shown interest in designing an intelligent classroom on a different context.  ...  on instructor's recordings with a single voice, multi-voice, no-voice, and others for identifying the time consumption 2019 [80] To automatically lip read the speakers using CNN and also RNN models  ... 
doi:10.17762/turcomat.v12i2.818 fatcat:px6d2zu6fzfodfctmq5mtxgu4i

English Multimode Production and Usage by Artificial Intelligence and Online Reading for Sustaining Effectiveness

Qin Zhao, Shah Nazir, Hafiz Tayyab Rauf
2022 Mobile Information Systems  
In a short time, AI has become one of the most developed disciplines in educational technology and brings a lot of enhancement to the education system.  ...  AI tools can now be used in all stages of learning to further improve the educational system.  ...  Acknowledgments This paper was supported by research on the Educational Ethics Evaluation Index System of artificial Intelligence Technology and the General Subject of Pedagogy in 2020 of the 13th Five-Year  ... 
doi:10.1155/2022/6780502 fatcat:wlbpkjwrujedbimwzsyhms45aa

A New International Initiative for Facilitating Data-Driven Earth Science Transformation

Qiuming Cheng, Molei Zhao
2020 Geological Society Special Publication  
For geoscientists, however, what matters is what we do with the data rather than the amount of it.  ...  Data-driven techniques including machine-learning (ML) algorithms with big data are re-activating and re-empowering research in traditional disciplines for solving new problems.  ...  We also thank Dr Daniel Lebel, Director General of Geological Survey of Canada, for his invitation to give the presentation of the paper at the session 'Changing Role of Geological Surveys' of RFG2018  ... 
doi:10.1144/sp499-2019-158 fatcat:bocgxsleyfbmvjhre3tkgtb4uq

Speech synthesis using generative adversarial network for improving readability of Hindi words to recuperate from dyslexia

Geeta Atkar, Priyadarshini Jayaraju
2021 Neural computing & applications (Print)  
Children learn and develop their abilities at their own pace. One of the most basic skills that they acquire is reading.  ...  However, some children struggle with reading longer than their friends, and in such a case, it is possible that they have a learning disorder known as dyslexia.  ...  Compliance with ethical standards Conflict of interest ''Maharashtra Dyslexia Association'', government organization for dyslexic children, helped to get knowledge about dyslexic children, and their actual  ... 
doi:10.1007/s00521-021-05695-3 pmid:33612979 pmcid:PMC7883547 fatcat:midw7r5qgfbhjderx7jvg4jb4e

@Brunning: People & Technology: At the Only Edge that Means Anything / How We Understand What We Do

Dennis Brunning
2016 Against the Grain  
They ignored open access for many years before they started to fall in line urging open access declarations. They pay lip service to the politics but deep down they must sense the contradiction.  ...  Moreover, the pleasure of trading the book in for credit at a secondhand bookstore, well, that era is over.  ...  I suspect that libraries are in the process of a shift away from owning content, and towards facilitating access.  ... 
doi:10.7771/2380-176x.6101 fatcat:6nxqrpstjndnro7kszsikpihiu

Is this the Era of Misinformation yet

Patrick Wang, Rafael Angarita, Ilaria Renna
2018 Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18  
This paper reviews techniques that can be used to fabricate fake news and depicts a scenario where social bots evolve in a fully semantic Web to infest social media with automatically generated deceptive  ...  For example, in [29] , authors demonstrated the ability to learn lip sync from audio and video footages 3 .  ...  Recently, we also witnessed the emergence of deepfakes [6] which uses deep learning techniques to swap faces in videos and sparked a vivid interest in the pornographic scene.  ... 
doi:10.1145/3184558.3191610 dblp:conf/www/WangAR18 fatcat:2vjnvhieejfxxe7qkysbfuvd3e

Specific Needs of Families of Deaf Parents and Hearing Children

Eva Klimentová, Vít Dočekal
2020 Central European Journal of Educational Research  
The aim of the paper is to describe specific aspects of deaf parenting of hearing children, based on an interpretation of research findings concerning the target group.  ...  They are reconciled to their handicap and its consequences and use tools in the social environment to overcome the disadvantages of deaf parenting.  ...  relied on oral expression and lip reading.  ... 
doi:10.37441/cejer/2020/2/3/8528 fatcat:sralud24tbflzni2uofa42qdba

A Survey on Big Five Personality Traits Prediction Using Tensorflow

Manisha Nilugonda, Dr. Karanam Madhavi, S. Tummala, S. Kosaraju, P. Bobba, S. Singh
2020 E3S Web of Conferences  
This paper provides a survey on detecting of big five personality traits based on facial features recognition using TensorFlow mechanism.  ...  Modern methods of discovering the Big-Five personality types include completing a survey, that takes an impractical amount of time and cannot be used often.  ...  Machine learning (ML) is a popular method of achieving artificial intelligence and in deep learning (DL) is a method used to put ML in practice.  ... 
doi:10.1051/e3sconf/202018401053 fatcat:ngc7yh2en5a3fprtkmqimialiq

A review of affective computing: From unimodal analysis to multimodal fusion

Soujanya Poria, Erik Cambria, Rajiv Bajpai, Amir Hussain
2017 Information Fusion  
Furthermore, existing literature surveys lack a detailed discussion of state of the art in multimodal affect analysis frameworks, which this review aims to address.  ...  In this paper, we focus mainly on the use of audio, visual and text information for multimodal affect analysis, since around 90% of the relevant literature appears to cover these three modalities.  ...  New Era of NLP: Emergence of Deep Learning Deep-learning architectures and algorithms have already made impressive advances in fields such as computer vision and pattern recognition.  ... 
doi:10.1016/j.inffus.2017.02.003 fatcat:ytebhjxlz5bvxcdghg4wxbvr6a

Deep learning applications and challenges in big data analytics

Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic
2015 Journal of Big Data  
Complex abstractions are learnt at a given level based on relatively simpler abstractions formulated in the preceding level in the hierarchy.  ...  In the present study, we explore how Deep Learning can be utilized for addressing some important problems in Big Data Analytics, including extracting complex patterns from massive volumes of data, semantic  ...  "Applications of deep learning in big data analytics" presents a targeted survey of works investigating Deep Learning based solutions for data analysis, and discusses how Deep Learning can be applied  ... 
doi:10.1186/s40537-014-0007-7 fatcat:65mi6dnv5rg6poesotupqbsm7y

Racial discrimination: Experiences of black medical school alumni at the University of Cape Town, 1945 - 1994

A M Perez, N Ahmed, L London
2012 South African Medical Journal  
Funding was provided by a grant from the National Research Foundation of South Africa.  ...  The authors wish to thank Ms Ayesha Fakie who assisted with data collection, Prof David Dent and Ms Phyllis Orner who helped with editing, and the many alumni who willingly shared their experiences for  ...  on behalf of black students on the other, is a striking feature of the findings from this survey.  ... 
doi:10.7196/samj.5721 fatcat:bnhfqjc4qzevrjxqtbqi7srx6q

A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets [article]

Muhammed Muzammul, Xi Li
2021 arXiv   pre-print
At the end, we showed future directions with existing challenges of the field. In the future, OD methods and models can be analyzed for real-time object detection, tracking strategies.  ...  In part 2) we mainly focused on tiny object detection techniques (multi-scale feature learning, Data augmentation, Training strategy (TS), Context-based detection, GAN-based detection).  ...  A survey on deep learning in medical image analysis [82] .  ... 
arXiv:2107.07927v1 fatcat:pgwxu5tnvzhj7ln3ccndmpilsi

Back to the Era of Conditioning Theory? The Case of the Moodle Platform

Sophia Ming Lee Wen
2014 Journal of Information Technology & Software Engineering  
On the other hand, teachers in university are rather passive in using the Moodle platform (They are asked for and the Moodle system is free).  ...  They are, in fact, not conscious of the danger of being dominated by the system and, consequently, of the inequality of rights, which could hinder the development of autonomy and self-reflection.  ...  The success with the Moodle system, in terms of the performances, does not automatically change into the success of self-learning. A more positive learning should be more constructive.  ... 
doi:10.4172/2165-7866.1000130 fatcat:old3i3x2g5hbnkutege5fyupqm
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