Prof. Dr. Simon Doclo received the M.Sc. degree in electrical engineering and the Ph.D. degree in applied sciences from the Katholieke Universiteit Leuven, Belgium, in 1997 and 2003. From 2003 to 2007 he was a Postdoctoral Fellow with the Research Foundation – Flanders at the Electrical Engineering Department (Katholieke Universiteit Leuven) and the Cognitive Systems Laboratory (McMaster University, Canada). From 2007 to 2009 he was a Principal Scientist with NXP Semiconductors in Leuven, Belgium. Since 2009 he is a full professor at the University of Oldenburg, Germany, and scientific advisor for the Division Hearing, Speech and Audio Technology of the Fraunhofer Institute for Digital Media Technology. His research activities center around signal processing for acoustical and biomedical applications, more specifically microphone array processing, speech enhancement, active noise control, acoustic sensor networks and hearing aid processing.
Prof. Doclo received several best paper awards (International Workshop on Acoustic Echo and Noise Control 2001, EURASIP Signal Processing 2003, IEEE Signal Processing Society 2008, VDE Information Technology Society 2019). He is member of the IEEE Signal Processing Society Technical Committee on Audio and Acoustic Signal Processing, the EURASIP Technical Area Committee on Acoustic, Speech and Music Signal Processing and the EAA Technical Committee on Audio Signal Processing. Prof. Doclo was and is involved in several large-scale national and European research projects (ITN DREAMS, Cluster of Excellence Hearing4all, CRC Hearing Acoustics). He was Technical Program Chair of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) in 2013 and Chair of the ITG Conference on Speech Communication in 2018. In addition, he served as guest editor for several special issues (IEEE Signal Processing Magazine, Elsevier Signal Processing) and was associate editor for IEEE/ACM Transactions on Audio, Speech and Language Processing and EURASIP Journal on Advances in Signal Processing.
- Signal processing for acoustical and biomedical applications
- Microphone array processing for signal enhancement, dereverberation, source separation, sound localisation, echo and feedback suppression
- Machine learning for acoustical signal processing
- Distributed and cooperative processing for acoustic sensor networks
- Computational auditory scene analysis
- Auditory attention decoding
- Application to hearing aids, cochlear implants and assistive listening devices
- Best Paper Award of the VDE Information Technology Society (2019) for the paper "Analysis of Eigenvalue Decomposition-Based Late Reverberation Power Spectral Density Estimation," IEEE/ACM Trans. Audio, Speech and Language Processing, vol. 26, no. 6, pp. 1106-1118, June 2018 (Ina Kodrasi, Simon Doclo)
- PhD Supervision Award (2019), School of Medicine and Health Sciences, University of Oldenburg
- Best Paper Award (First Prize), International Conference on Digital Audio Effects (2017) for the paper "Iterative structured shrinkage algorithms for stationary/transient audio decomposition" (Kai Siedenburg, Simon Doclo)
- IEEE Signal Processing Society Best Paper Award (2008) for the paper "New Insights Into the Noise Reduction Wiener Filter," IEEE Trans. Audio, Speech and Language Processing, vol. 14, no. 4, pp. 1218-1234, Jul. 2006 (Jingdong Chen, Jacob Benesty, Arden Huang, Simon Doclo)
- EURASIP Signal Processing Best Paper Award (2003) for the paper "Design of far-field and near-field broadband beamformers using eigenfilters," Signal Processing, vol. 83, no. 12, pp. 2641-2673, Dec. 2003 (Simon Doclo, Marc Moonen)
- Best Student Paper Award, International Workshop on Acoustic Echo and Noise Control (2001) for the paper "Combined frequency-domain dereverberation and noise reduction technique for multi-microphone speech enhancement" (Simon Doclo, Marc Moonen)
- Master Thesis Award (1997) of the Royal Flemish Society of Engineers for M.Sc. thesis "Enhancement of speech intelligibility in hearing aids by adaptive noise suppression in real time" (Simon Doclo, Erik De Clippel)