Academic papers often contain accounts of new breakthroughs and interesting theories related to a variety of fields. However, most of these articles are written using jargon and technical language that can only be understood by readers who are familiar with that...
TECHXPLORE
Using multi-task learning for low-latency speech translation
Researchers from the Karlsruhe Institute of Technology (KIT), in Germany, have recently applied multi-task machine learning to low-latency neural speech translation. Their study, which was pre-published on ArXiv, addresses some of the limitations of existing neural...
Using photoplethysmography signal for mathematical modeling of arterial blood pressure
A team of researchers at the University of Texas at Arlington and the University of Texas Southwestern have recently developed a new method to estimate systolic (SBP), diastolic (DBP), and mean (MBP) blood pressure waveforms from photoplethysmography (PPG) signals....
Visual rendering of shapes on 2-D display devices guided by hand gestures
Researchers at NIT Kurukshetra, IIT Roorkee and IIT Bhubaneswar have developed a new Leap Motion controller-based method that could improve rendering of 2-D and 3-D shapes on display devices. This new method, outlined in a paper pre-published on arXiv, tracks finger...
WaveGlow: A flow-based generative network to synthesize speech
A team of researchers at NVIDIA has recently developed WaveGlow, a flow-based network that can generate high-quality speech from melspectrograms, which are acoustic time-frequency representations of sound. Their method, outlined in a paper pre-published on arXiv, uses...
Who let the trolls out? Researchers investigate state-sponsored trolls
Over the past few years, journalists and politicians have often highlighted the presence of state-sponsored online trolls with the mission of swaying public opinion on particular issues. Researchers at Cyprus University of Technology, UCL, University of Alabama at...
Using machine learning for music knowledge discovery
Researchers at the University of Pompeu Fabra, Cardiff University and the Technical University of Madrid used machine-learning algorithms to discover new things about the history of music.
A CNN-based method to detect end-to-end multiplayer violence
Researchers at China University of Petroleum (CUP), in Beijing, have recently developed a new method for multiplayer violence detection based on deep 3-D convolutional neural networks (CNNs). Their method was presented in a paper published in ICNCC 2018: Proceedings...
A deep learning technique for context-aware emotion recognition
A team of researchers at Yonsei University and École Polytechnique Fédérale de Lausanne (EPFL) has recently developed a new technique that can recognize emotions by analyzing people's faces in images along with contextual features. They presented and outlined their...
A framework for depth estimation and relative localization in ground robots
Researchers at the University of Porto in Portugal and KTH Royal Institute of Technology in Sweden have recently developed a framework that can estimate the depth and relative pose of two ground robots that are collaborating on a given task. Their framework, outlined...