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.

Latest publications

Matching early reflections of simulated and measured RIRs by applying sound-source directivity filters

Anthony Gallien, Karolina Prawda, Sebastian J. Schlecht 2024 4th International Conference on Acoustics and Sound Reinforcement, ASR 2024

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

HRTF Interpolation using a Spherical Neural Process Meta-Learner

Etienne Thuillier, Craig Jin, Vesa Valimaki 2024 IEEE/ACM Transactions on Audio Speech and Language Processing

Two-Stage Attenuation Filter for Artificial Reverberation

Vesa Valimaki, Karolina Prawda, Sebastian J. Schlecht 2024 IEEE Signal Processing Letters

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)
More information on our research in the Aalto research portal.
Research portal
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