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Laurent Simon

2 accepted papers

2025

Evaluation of Deep Audio Representations for Hearables

ICASSP 2025accepted

Effectively steering hearable devices requires understanding the acoustic environment around the user. In the computational analysis of sound scenes, foundation models have emerged as the state of the art to produce high-performance, robust, multi-purpose audio representations. We introduce and rele…

Cited by 0SourceScholar
2025

Position: Machine Learning Models Have a Supply Chain Problem

ICML 2025poster

Powerful machine learning (ML) models are now readily available online, which creates exciting possibilities for users who lack the deep technical expertise or substantial computing resources needed to develop them. On the other hand, this type of open ecosystem comes with many risks. In this paper,…

Cited by 0SourcePDFScholar