58 citations · 126 across the 7 of their papers we have counts for
8 papers
Low-complexity acoustic scene classification in DCASE 2022 Challenge
Irene Martín-Morató, Francesco Paissan, Alberto Ancilotto +5
This paper presents an analysis of the Low-Complexity Acoustic Scene Classification task in DCASE 2022 Challenge. The task was a continuation from the previous years, but the low-c…
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks
Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri +3
Keyword spotting (KWS) is a crucial function enabling the interaction with the many ubiquitous smart devices in our surroundings, either activating them through wake-word or direct…
PhiNets: a scalable backbone for low-power AI at the edge
Francesco Paissan, Alberto Ancilotto, Elisabetta Farella
In the Internet of Things era, where we see many interconnected and heterogeneous mobile and fixed smart devices, distributing the intelligence from the cloud to the edge has becom…
Measuring close proximity interactions in summer camps during the COVID-19 pandemic
E. Leoni, G. Cencetti, G. Santin +6
Policy makers have implemented multiple non-pharmaceutical strategies to mitigate the COVID-19 worldwide crisis. Interventions had the aim of reducing close proximity interactions,…
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT
Francesco Paissan, Massimo Gottardi, Elisabetta Farella
The Internet of Things (IoT) and smart city paradigm includes ubiquitous technology to extract context information in order to return useful services to users and citizens. An esse…
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices
Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli +3
Sound event detection (SED) is a hot topic in consumer and smart city applications. Existing approaches based on Deep Neural Networks are very effective, but highly demanding in te…
Compact recurrent neural networks for acoustic event detection on low-energy low-complexity platforms
Gianmarco Cerutti, Rahul Prasad, Alessio Brutti +1
Outdoor acoustic events detection is an exciting research field but challenged by the need for complex algorithms and deep learning techniques, typically requiring many computation…
A sub-mW IoT-endnode for always-on visual monitoring and smart triggering
Manuele Rusci, Davide Rossi, Elisabetta Farella +1
This work presents a fully-programmable Internet of Things (IoT) visual sensing node that targets sub-mW power consumption in always-on monitoring scenarios. The system features a…