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Ludovic Amruthalingam

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
2024

Intrinsic Self-Supervision for Data Quality Audits

NeurIPS 2024poster

Benchmark datasets in computer vision often contain off-topic images, near duplicates, and label errors, leading to inaccurate estimates of model performance. In this paper, we revisit the task of data cleaning and formalize it as either a ranking problem, which significantly reduces human inspectio…