Vesa Välimäki

Vesa Välimäki

Professor
Professor
T412 Department of Information and Communications Engineering

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
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]

Osaamisalueet

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, Äänisignaalinkäsittely (ääniteknologia, musiikkiteknologia, tietokonepelit, äänentoisto, meluntorjunta), 213 Electronic, automation and communications engineering, electronics, Signal processing, Optics, acoustics

Palkinnot

Huawei Master's Thesis Award

Foundation for Aalto University Science and Technology awards grants for MSc and Doctoral theses. The grants awarded by the Foundation are based on donations from Finnish industrial companies. The Huawei Master's Thesis Award considers all Master's Thesis graduates of the School of Electrical Engineering of Aalto University in Artificial Intelligence, Audio, Security, Antennas, and Integrated circuits. In February 2023, one of the three recipients was Otto-Ville Mikkonen.
Award or honor granted for a specific work Audio Signal Processing Feb 2023

Best Student Paper Award at the IEEE ICASSP 2023 Conference

Eloi Moliner received the Best Student Paper Award at the IEEE ICASSP 2023 Conference for his paper "Solving Audio Inverse Problems with a Diffusion Model", co-authored by Prof. Jaakko Lehtinen and Prof. Vesa Välimäki
Award or honor granted for a specific work Audio Signal Processing Jun 2023

Third Best Paper Award at the DAFx-22 Conference

Third Best Paper Award at the International Conference on Digital Audio Effects DAFx-22, Vienna, Austria: REALISTIC GRAMOPHONE NOISE SYNTHESIS USING A DIFFUSION MODEL by Eloi Moliner and Vesa Välimäki.<br/>
Award or honor granted for a specific work Audio Signal Processing Sep 2022

Best Paper Award of the Journal of the AES

Journal of the Audio Engineering Society Best Paper Award 2019 for the paper "Directional Feedback Delay Network"
Award or honor granted for a specific work Dept Signal Process and Acoust Jun 2020

Second Best Paper Award at the international DAFX-18 conference

Dr. Sebastian Schlecht (International Audio Labs, Germany), Benoit Alary (Aalto), Prof. Vesa Välimäki (Aalto), and Prof. Emanuel A. P. Habets (International Audio Labs, Germany) won the second best paper award with the paper ”Optimized velvet-noise decorrelation”.
Award or honor granted for a specific work Audio Signal Processing Sep 2018

Best Paper Award at the SMC-19 conference

The First Best Paper Award at the International Sound and Music Computing Conference SMC-19 in Malaga, Spain, was given on Friday, May 31, 2019 to the paper by Eero-Pekka Damskägg, Lauri Juvela and Prof. Vesa Välimäki, “Real-Time Modeling of Audio Distortion Circuits with Deep Learning”.
Award or honor granted for a specific work Audio Signal Processing May 2019

Best Paper Award, at 2007 International Conference on Digital Audio Effects

Bordeaux, France, Sept. 2007 (co-authors: Heidi-Maria Lehtonen and Timo I. Laakso)
Award or honor granted for a specific work Dept Signal Process and Acoust Sep 2007

Fellowship Award, Audio Engineering Society (AES)

Award or honor granted for a specific work Dept Signal Process and Acoust Jan 2012

IEEE Fellow Institute of Electrical and Electronics Engineers (IEEE), United States

Award or honor granted for a specific work Dept Signal Process and Acoust Jan 2014

IEEE Fellow

for contributions to synthesis and processing of audio signals
Award or honor granted for academic or artistic career Dept Signal Process and Acoust Jan 2015

Tutkimusryhmät

  • Audio Signal Processing

Julkaisut

Multi-shelf graphic equalizer

Sebastian J. Schlecht, Tantep Sinjanakhom, Vesa Välimäki 2025 Signal Processing

Efficient Velvet-Noise Convolution in Multicore Processors

Jose A. Belloch, Jose M. Badia, German Leon, Ves Välimäki 2024 AES: Journal of the Audio Engineering Society

Real-time implementation of a linear-phase octave graphic equalizer

Valeria Bruschi, Stefania Cecchi, Alessandro Nicolini, Vesa Välimäki 2024 Proceedings of the 27th International Conference on Digital Audio Effects (DAFx24)

Sample rate independent recurrent neural networks for audio effects processing

Alistair Carson, Alec Wright, Jatin Chowdhury, Vesa Välimäki, Stefan Bilbao 2024 Proceedings of the 27th International Conference on Digital Audio Effects (DAFx24)

RIR2FDN: An improved room impulse response analysis and synthesis

Gloria Dal Santo, Benoit Alary, Karolina Prawda, Sebastian Schlecht, Vesa Välimäki 2024 Proceedings of the 27th International Conference on Digital Audio Effects (DAFx24)

Differentiable Active Acoustics: Optimizing Stability via Gradient Descent

Gian De Bortoli, Gloria Dal Santo, Karolina Prawda, Tapio Lokki, Vesa Välimäki, Sebastian Schlecht 2024 Proceedings of the 27th International Conference on Digital Audio Effects (DAFx24)

Non-Exponential Reverberation Modeling Using Dark Velvet Noise

Jon Fagerström, Sebastian J. Schlecht, Vesa Välimäki 2024 AES: Journal of the Audio Engineering Society

Sampling the user controls in neural modeling of audio devices

Otto Mikkonen, Alec Wright, Vesa Välimäki 2024 Eurasip Journal on Audio, Speech, and Music Processing

Diffusion-Based Audio Inpainting

Eloi Moliner Juanpere, Vesa Välimäki 2024 AES: Journal of the Audio Engineering Society

Noise Morphing for Audio Time Stretching

Eloi Moliner Juanpere, Leonardo Fierro, Alec Wright, Matti S. Hamalainen, Vesa Valimaki 2024 IEEE Signal Processing Letters