1992 …2022

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Personal profile

Artistic and research interests

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

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education/Academic qualification

Doctoral degree, Engineering and Technology, Helsinki University of Technology

Award Date: 19 Dec 1995

Licentiate degree, Engineering and Technology, Helsinki University of Technology

Award Date: 31 Aug 1994

Master's degree, Engineering and Technology, Helsinki University of Technology

Award Date: 22 Dec 1992

External positions

Member of board, Tiedekeskussäätiö Heureka

1 Jan 202231 Dec 2023

Member of board, Tiedekeskussäätiö Heureka

1 Jan 202031 Dec 2021

Expert in acoustics (part-time), Flexound Systems Oy

1 Aug 201931 Dec 2021

Member of board, Tiedekeskussäätiö Heureka

1 Jan 201831 Dec 2019

Member of board, Tiedekeskussäätiö Heureka

1 Jan 201631 Dec 2017

Keywords

  • Acoustics
  • Audio
  • Digital filter design
  • Music technology
  • Signal Processing
  • Sound and Music Computing
  • Digital Audio
  • Musical Acoustics
  • Headphones
  • Loudspeakers
  • Sound
  • Sound reproduction
  • Equalizers
  • Music signal processing
  • Audio effects processing
  • Acoustic signal processing
  • Artificial reverberation
  • Augmented Reality Audio
  • Acoustic measurements
  • Sound synthesis
  • Machine learning
  • Deep learning

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  • A Low-Latency Quasi-Linear-Phase Octave Graphic Equalizer

    Bruschi, V., Välimäki, V., Liski, J. & Cecchi, S., 6 Sep 2022, Proceedings of the 25th International Conference on Digital Audio Effects (DAFx20in22). Evangelista, G. & Holighaus, N. (eds.). 2022 ed. Vienna, Austria, p. 94-100 7 p. 32. (Proceedings of the International Conference on Digital Audio Effects).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    1 Downloads (Pure)
  • A Two-Stage U-Net for High-Fidelity Denoising of Historical Recordings

    Moliner, E. & Välimäki, V., 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. IEEE, p. 841-845 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    4 Downloads (Pure)
  • Audio peak reduction using a synced allpass filter

    Schlecht, S. J., Fierro, L., Välimäki, V. & Backman, J., 2022, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022. Singapore: IEEE, p. 1006-1010 5 p. (IEEE International Conference on Acoustics, Speech and Signal Processing; vol. 2022-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    13 Downloads (Pure)
  • Audio Peak Reduction Using Ultra-Short Chirps

    Välimäki, V., Fierro, L., Schlecht, S. & Backman, J., Jun 2022, In: Journal of the Audio Engineering Society. 70, 6, p. 485-494 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    8 Downloads (Pure)
  • Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering

    Gupta, R., He, J., Ranjan, R., Gan, W. S., Klein, F., Schneiderwind, C., Neidhardt, A., Brandenburg, K. & Valimaki, V., 1 May 2022, In: IEEE Signal Processing Magazine. 39, 3, p. 63-89 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    90 Downloads (Pure)