Best Student Paper Award for Acoustics Lab doctoral student Eloi Moliner
Aalto Acoustics Lab's doctoral student Eloi Moliner received the Best Student Paper Award at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) on the Island of Rhodes, Greece, on Friday, 9 June 2023. ICASSP is an annual, week-long flagship conference of the Signal Processing Society of the IEEE, the largest international organisation of electrical and electronics engineers. This time, the ICASSP conference had more than 4000 participants.
Eloi has been a doctoral student at Aalto University School of Electrical Engineering since 2021 and is focusing in his research on deep learning methods for audio restoration. In this paper, Eloi collaborated with Prof. Jaakko Lehtinen of the Aalto Department of Computer Science and with Prof. Vesa Välimäki, who is Eloi’s supervisor.
The award-winning paper discusses how to solve inverse problems in audio processing. The proposed solution is based on a diffusion model, which uses a deep neural network for inference. This paper shows examples of correcting a clipped music recording, filling dropouts in a sound file, and enhancing the brightness of music by hallucinating the missing high frequencies. Diffusion models have become popular in AI research in the past few years and are famous for their miraculous results in image generation.
Congratulations to Eloi!
Read the article here. Many audio examples and animations related to this work are available here.
More information
Vesa Välimäki
Professor of audio signal processing
Department of Information and Communication Engineering / Acoustics Lab
School of Electrical Engineering
Aalto University
vesa.valimaki@aalto.fi
Read more news
Aalto’s VCD students designed the visual identity and name for the new youth center HALO
The Me Foundation’s new youth street culture center, HALO, will open later this year in Vantaa. Young people have been involved in its planning from the very beginning.
Mikko Möttönen selected as finalist for the European Inventor Award 2026
Möttönen is a finalist in the ‘Research’ category for developing an ultrasensitive cryogenic microwave sensor to diagnose interference in quantum computers.
Mari Lundström elected as a new member of the Finnish Academy of Science and Letters
Professor of Metallurgy Mari Lundström has been elected as a member of the Finnish Academy of Science and Letters.