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/...

Areas of expertise

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

Honors and awards

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

Research groups

  • Audio Signal Processing

Publications

Sampling the user controls in neural modeling of audio devices

Otto Mikkonen, Alec Wright, Vesa Välimäki 2024

Diffusion-Based Audio Inpainting

Eloi Moliner Juanpere, Vesa Välimäki 2024

Noise Morphing for Audio Time Stretching

Eloi Moliner Juanpere, Leonardo Fierro, Alec Wright, Matti S. Hamalainen, Vesa Valimaki 2024

HRTF Interpolation using a Spherical Neural Process Meta-Learner

Etienne Thuillier, Craig Jin, Vesa Valimaki 2024

Two-Stage Attenuation Filter for Artificial Reverberation

Vesa Valimaki, Karolina Prawda, Sebastian J. Schlecht 2024

Crossover Networks: A Review

Stefania Cecchi, Valeria Bruschi, Stefano Nobili, Alessandro Terenzi, Vesa Välimäki 2023

Differentiable Feedback Delay Network For Colorless Reverberation

Gloria Dal Santo, Karolina Prawda, Sebastian Schlecht, Vesa Välimäki 2023 Proceedings of the 26th International Conference on Digital Audio Effects (DAFx23)

Improved Aures tonality metric for complex sounds

Juan Estreder, Gema Piñero, Maria de Diego, Jussi Rämö, Vesa Välimäki 2023

Extreme Audio Time Stretching Using Neural Synthesis

Leonardo Fierro, Alec Wright, Vesa Välimäki, Matti Hämäläinen 2023 ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)