Department of Information and Communications Engineering

Audio signal processing

The Audio Signal Processing Research Group is working on wideband sound technology, which is extensively applicable for example in smart phones, music technology, gaming, sound reproduction, and noise control.
Acoustic measurements at the Aalto Acoustics Lab

Our research topics and projects are related to headset signal processing, loudspeakers, sound synthesis, effects processing algorithms, digital filters, musical instruments, acoustic measurements, subjective evaluation, and interactive audio systems. The emphasis of our research is on digital signal processing and machine learning methods which account for the properties of human hearing. We have collaborated with several companies, such as Genelec and Nokia Technologies. Much of our academic research is conducted in collaboration with foreign partners, such as Aalborg University, The University of Edinburgh, and Stanford University.

This research group organizes the Audio Signal Processing course at Aalto University annually in January-April. We also arrange the Audio Technology Seminar every second year (February-May). Both courses are suitable for Master's and doctoral students, who have a solid background in acoustics and digital signal processing. Additionally, we are responsible for the Noise Control course for Master's and doctoral students and for the Sound and Speech Processing course (Äänen- ja puheenkäsittely, in Finnish) for BSc students.

The Audio Signal Processing Research Group belongs to the Aalto Acoustics Lab. The research group is led by Professor Vesa Välimäki, IEEE Fellow, AES Fellow.

Group members

Leonardo Fierro

Leonardo Fierro

Doctoral Researcher
T412 Department of Information and Communications Engineering

Latest publications

Crossover Networks: A Review

Stefania Cecchi, Valeria Bruschi, Stefano Nobili, Alessandro Terenzi, Vesa Välimäki 2023 Journal of the Audio Engineering Society

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 Applied Acoustics

Enhanced Fuzzy Decomposition of Sound Into Sines, Transients, and Noise

Leonardo Fierro, Vesa Välimäki 2023 AES: Journal of the Audio Engineering Society

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)

Neural Modeling of Magnetic Tape Recorders

Otto Mikkonen, Alec Wright, Eloi Moliner, Vesa Välimäki 2023 Proceedings of the 26th International Conference on Digital Audio Effects (DAFx23)

Neural Grey-Box Guitar Amplifier Modelling With Limited Data

Stepan Miklanek, Alec Wright, Vesa Välimäki, Jiri Schimmel 2023 Proceedings of the 26th International Conference on Digital Audio Effects (DAFx23)

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

Solving Audio Inverse Problems with a Diffusion Model

Eloi Moliner Juanpere, Jaakko Lehtinen, Vesa Välimäki 2023 ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Rule of two: methods to detect and localize non-stationary noise in sweep measurements

Karolina Prawda, Sebastian Schlecht, Vesa Välimäki 2023 Akustiikkapäivät 2023
More information on our research in the Aalto research portal.
Research portal
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