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Bio
Nikolaos Dionelis received the M.Eng. (first class honors) degree in electrical and electronic engineering in 2015 from the Imperial College London, London, U.K., where he has been working toward the Ph.D. degree with the Imperial College London. He is currently a Postgraduate Researcher with the Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College London. His current research interests include blind speech dereverberation, speech enhancement, modulation-domain non-linear Kalman filtering in noisy reverberant environments, robust speech processing in adverse acoustic environments, noise and reverberation robust solutions, relation of denoising and dereverberation modules, creation of modular computational frameworks, machine learning, deep learning, recurrent neural networks, multi-modal audio-visual fusion, speech-based emotion, and disease detection, affective computing, speech and audio signal processing, phase-sensitive models, adaptive signal estimation and tracking, speaker separation, and far-field speech recognition.
Research Interests
Papers共 15 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
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引用量
主题
期刊级别
合作者
合作机构
IJCNNpp.1-8, (2023)
ECML/PKDD (3) (2022): 137-153
2022 Sensor Signal Processing for Defence Conference (SSPD)pp.71-75, (2022)
CoRR (2021)
arXiv (Cornell University) (2021)
2020 SENSOR SIGNAL PROCESSING FOR DEFENCE CONFERENCE (SSPD)pp.41-45, (2020)
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Author Statistics
#Papers: 15
#Citation: 119
H-Index: 6
G-Index: 10
Sociability: 1
Diversity: 2
Activity: 1
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