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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 . Many audio examples and animations related to this work are available .

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