Nikolaos Dionelis

Postgraduate Research

Nikolaos Dionelis is a postgraduate researcher in the Speech and Audio Processing Group, which is part of the Communications and Signal Processing Group, in the Department of Electrical and Electronic Engineering at Imperial College London, London, U.K. He has been awarded with the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Award and he is working towards his Ph.D. degree in the Speech and Audio Processing Group at Imperial College London since 2015. He received his M.Eng. degree with First Class Honours in Electrical and Electronic Engineering from Imperial College London in 2015. He completed the International Baccalaureate (IB) Diploma Programme at the Hellenic-American Educational Foundation (HAEF) Athens College – Psychico College, Athens, Greece in 2011. His current research interests include single-channel speech enhancement, speech denoising, speech separation, speech quality and intelligibility improvement, modulation-domain Kalman filtering in noisy and reverberant environments, blind speech dereverberation, speech and audio signal processing, machine learning and signal processing using statistical and probabilistic methods.

 

CV of Nikolaos Dionelis: CV

Full CV of Nikolaos Dionelis: CV

Ph.D. Supervisor: Mike Brookes

 

Nikolaos Dionelis – Main Websites:

1) Imperial College London – Nikolaos Dionelis

2) Nikolaos in the Communications and Signal Processing Group

3) Nikolaos Dionelis in the Communications and Signal Processing Group

4) GitHub Profile – Nikolaos Dionelis – nd1511

5) LinkedIn Profile – Nikolaos Dionelis

6) Google Scholar Profile – Nikolaos Dionelis

7) Nikolaos Dionelis – CV and MEng Transcript

8) Nikolaos Dionelis – Website

9) Presentations by Nikolaos Dionelis

 

Papers – Main Websites:

1) Joint Denoising and Dereverberation – Paper Submitted to IEEE Transactions

2) Website – Joint Denoising and Dereverberation Using Kalman Filtering

3) Noise Suppression with Speech Phase Estimation – IEEE Transactions Paper

4) Speech Enhancement Using Modulation-Domain Kalman Filtering

5) Modulation-Domain Speech Enhancement Using a Kalman Filter

6) Speech Enhancement Using Kalman Filtering in the Logarithmic Bark Power Spectral Domain – 1570430138

7) Active Speech Level Estimation with Quadrature Noise Suppression

8) On Non-Linear Modulation-Domain Kalman Filtering

9) Website – Speech Enhancement Using Modulation-Domain Kalman Filtering

10) Website 2 – Speech Enhancement Using Modulation-Domain Kalman Filtering

 

Publications:

1) N. Dionelis and M. Brookes, “Phase-Aware Single-Channel Speech Enhancement with Modulation-Domain Kalman Filtering,” IEEE Transactions on Audio, Speech and Language Processing, Volume 26, Issue 5, May 2018, [Online]. Available: http://dx.doi.org/10.1109/TASLP.2018.2800525.

2) N. Dionelis and M. Brookes, “Modulation-Domain Kalman Filtering for Monaural Blind Speech Denoising and Dereverberation,” Submitted to IEEE Transactions on Audio, Speech and Language Processing, 2018, [Online]. Available: https://arxiv.org/pdf/1807.10236.pdf.

3) N. Dionelis and M. Brookes, “Speech Enhancement Using Kalman Filtering in the Logarithmic Bark Power Spectral Domain,” in Proceedings European Signal Processing Conference (EUSIPCO), Rome, 2018.

4) N. Dionelis and M. Brookes, “Speech enhancement using modulation-domain Kalman filtering with active speech level normalized log-spectrum global priors,” in Proceedings EUSIPCO, Kos, 2017, [Online]. Available: http://ieeexplore.ieee.org/document/8081622/.

5) N. Dionelis and M. Brookes, “Modulation-domain speech enhancement using a Kalman filter with a Bayesian update of speech and noise in the log-spectral domain,” in Proceedings IEEE International Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), San Francisco, 2017, [Online]. Available: http://ieeexplore.ieee.org/document/7895572/.

6) N. Dionelis and M. Brookes, “Active speech level estimation in noisy signals with quadrature noise suppression,” in Proceedings EUSIPCO, Budapest, 2016, [Online]. Available: http://ieeexplore.ieee.org/document/7760437/.

 

Research Interests:

Signal Processing
Machine Learning
Speech Denoising
Blind Speech Dereverberation
Speech Quality and Intelligibility Improvement
Non-Linear Kalman Filtering
Modulation-Domain Kalman Filtering
Deep Learning and Neural Networks

 

Email: nikolaos.dionelis11@imperial.ac.uk

Mob.: +447873286106, +306939509713

Tel.: +442037198439, +302109649042

FaceTime Email: nd1511@imperial.ac.uk

Google Hangouts Email: nikolaos.dionelis11@imperial.ac.uk

Skype Address: nikolas.dionelis

 

Nikolaos Dionelis

Room 809

Electrical and Electronic Engineering

South Kensington Campus

Imperial College London

London SW7 2AZ, UK

 

Postgraduate Research
Nikolaos Dionelis

Room 809
Electrical & Electronic Engineering
South Kensington Campus
Imperial College London
London SW7 2AZ, UK

Mob:   +44-7873286106
Tel:  +44-2037198439

Website: https://www.commsp.ee.ic.ac.uk/~sap/people-nikolaos-dionelis/

 

Teaching:

1) 2017-2018: Graduate Teaching Assistant for Real Time Digital Signal Processing (3rd year undergraduates and MSc students)

2) 2016-2017: Graduate Teaching Assistant for EE Labs (2nd year undergraduates)

3) 2015-2016: Graduate Teaching Assistant for EE Labs (1st year undergraduates)