Prof. Vesa Välimäki's research focuses on digital signal processing and machine learning applied to audio and acoustics. His work is associated with ICT (Information and Communications Technology) and the digitalization of the world. He is the Vice Dean for Research in the Aalto University School of Electrical Engineering. His research team, the Audio Signal Processing Research Group, belongs to the Aalto Acoustics Lab, a multidisciplinary center of high competence with excellent facilities for sound-related research. His research group is part of the Nordic University Hub project NordicSMC (Sound and Music Computing), which is funded by NordForsk during the six-year period 2018–2023.
Prof. Välimäki is a Fellow of the IEEE (Institute of Electrical and Electronics Engineers) and a Fellow of the AES (Audio Engineering Society). He was a Senior Area Editor of the IEEE/ACM Transactions on Audio, Speech and Language Processing in 2015-2020. He has arranged several special issues for international scientific journals, such as for the Applied Sciences (in 2016, 2017, and 2020) and for the IEEE Signal Processing Magazine (2015 and 2019). He was the General Chair of the 14th Sound and Music Computing Conference SMC-17, which was held on the Otaniemi campus of Aalto University (Espoo, Finland) in July 2017. He is a Board Member of the Heureka Science Centre.
Prof. Välimäki is the Editor-in-Chief of the Journal of the Audio Engineering Society.
Current research interests include
- Artificial reverberation
- Audio filter design (equalizers, delay filters, phase processing)
- Deep learning for musical audio processing
- Digital sound synthesis
- Headphone and loudspeaker signal processing
- Virtual analog modeling for music technology
IEEE Fellow Institute of Electrical and Electronics Engineers (IEEE), United States
Fellowship Award, Audio Engineering Society (AES)
Best Paper Award, at 2007 International Conference on Digital Audio Effects
Best Paper Award at the SMC-19 conference
Second Best Paper Award at the international DAFX-18 conference
Best Paper Award of the Journal of the AES
Third Best Paper Award at the DAFx-22 Conference
Best Student Paper Award at the IEEE ICASSP 2023 Conference
Huawei Master's Thesis Award
- Audio Signal Processing