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Thesis
Home   /   Thesis   /   Embedded systems for natural acoustic signals analysis while preserving privacy

Embedded systems for natural acoustic signals analysis while preserving privacy

Artificial intelligence & Data intelligence Health and environment technologies, medical devices Technological challenges

Abstract

The PhD topic aims at developping Embedded systems to record and analyze natural acoustic signals. When targeting city deployement, the privacy issue is raised: how can we keep a satisfactory analysis level while never record or transmit human voices?

Laboratory

Département Systèmes et Circuits Intégrés Numériques (LIST)
DSCIN
Laboratoire Intelligence Intégrée Multi-capteurs
Université Grenoble Alpes
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