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/...

Contact information

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

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

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

Fellowship Award, Audio Engineering Society (AES)

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

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

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

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 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

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

Research groups

  • Audio Signal Processing

Publications

BEHM-GAN: Bandwidth Extension of Historical Music using Generative Adversarial Networks

Eloi Moliner, Vesa Valimaki 2023 IEEE/ACM Transactions on Audio Speech and Language Processing

Bounded-Magnitude Discrete Fourier Transform [Tips & Tricks]

Sebastian J. Schlecht, Vesa Valimaki, Emanuel A.P. Habets 2023 IEEE Signal Processing Magazine

Pruning Deep Neural Network Models of Guitar Distortion Effects

David Südholt, Alec Wright, Cumhur Erkut, Vesa Välimäki 2023 IEEE/ACM Transactions on Audio Speech and Language Processing

Giant FFTs for Sample-Rate Conversion

Vesa Välimäki, Stefan Bilbao 2023 AES: Journal of the Audio Engineering Society

Sparse Graphic Equalizer Design

Mario Antonelli, Juho Liski, Vesa Välimäki 2022 IEEE Signal Processing Letters

Multicore implementation of a multichannel parallel graphic equalizer

Jose A. Belloch, José M M. Badía, German León, Balázs Bank, Vesa Välimäki 2022 JOURNAL OF SUPERCOMPUTING

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

Valeria Bruschi, Vesa Välimäki, Juho Liski, Stefania Cecchi 2022 Proceedings of the 25th International Conference on Digital Audio Effects (DAFx20in22)

Linear-Phase Octave Graphic Equalizer

Valeria Bruschi, Vesa Välimäki, Juho Liski, Stefania Cecchi 2022 Journal of the Audio Engineering Society

Flutter Echo Modeling

Gloria Dal Santo, Karolina Prawda, Vesa Välimäki 2022 Proceedings of the 25th International Conference on Digital Audio Effects (DAFx20in22)

Dark Velvet Noise

Jon Fagerström, Nils Meyer-Kahlen, Sebastian J. Schlecht, Vesa Välimäki 2022 Proceedings of the 25th International Conference on Digital Audio Effects (DAFx20in22)