Browsing Electronic Engineering and Computer Science by Title
Now showing items 115-134 of 3140
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Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs
We present two multimodal fusion-based deep learning models that consume ASR transcribed speech and acoustic data simultaneously to classify whether a speaker in a structured diagnostic task has Alzheimer's Disease and to ... -
Alzheimer’s Dementia Recognition From Spontaneous Speech Using Disfluency and Interactional Features
(Frontiers Media SA, 2021)Alzheimer’s disease (AD) is a progressive, neurodegenerative disorder mainly characterized by memory loss with deficits in other cognitive domains, including language, visuospatial abilities, and changes in behavior. ... -
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups
(2018-11-30)IEEE We present AMIGOS-- A dataset for Multimodal research of affect, personality traits and mood on Individuals and GrOupS. Different to other databases, we elicited affect using both short and long videos in two social ... -
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups.
(Institute of Electrical and Electronics Engineers, 2018-11-30) -
Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints
(Nature Publishing Group, 2021-05-21)Compositional disorder induces myriad captivating phenomena in perovskites. Target-driven discovery of perovskite solid solutions has been a great challenge due to the analytical complexity introduced by disorder. Here, ... -
Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads
(PLoS, 2016-03-04)As breaking news unfolds people increasingly rely on social media to stay abreast of the latest updates. The use of social media in such situations comes with the caveat that new information being released piecemeal may ... -
Analysing the Existence of Organisation Specific Languages on Twitter
(IEEE, 2021-08-01)The presence of organisations in Online Social Networks (OSNs) has motivated malicious users to look for attack vectors, which are then used to increase the possibility of carrying out successful attacks and obtaining ... -
Analysing the predictions of a CNN-based replay spoofing detection system
(IEEE, 2018-12-18)Playing recorded speech samples of an enrolled speaker - "replay attack" - is a simple approach to bypass an automatic speaker verification (ASV) system. The vulnerability of ASV systems to such attacks has been acknowledged ... -
Analysis and classification of phonation modes in singing
Phonation mode is an expressive aspect of the singing voice and can be described using the four categories neutral, breathy, pressed and flow. Previous attempts at automatically classifying the phonation mode on a dataset ... -
ANALYSIS OF ARTISTIC STYLES IN OIL PAINTING USING DEEP-LEARNING FEATURES
(IEEE, 2020-06)The styles of oil paintings are pre-defined from an aesthetic perspective along with the historical background. With features learnt by Convolutional Neural Networks (CNNs), we construct two style spaces to visualize the ... -
Analysis of mental and physical disorders associated with COVID-19 in online health forums: a natural language processing study
(BMJ Publishing Group, 2021-11-05)Objectives Online health forums provide rich and untapped real-time data on population health. Through novel data extraction and natural language processing (NLP) techniques, we characterise the evolution of mental and ...