4 Contributo in Atti di Convegno (Proceeding)

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Fine-Tuning a Pre-Trained Wav2Vec2 Model for Automatic Speech Recognition: Experiments with de zahrar sproche

We present the results of an Automatic Speech Recognition system developed to support linguistic documentation efforts. The test case is the zahrar sproche language, a Southern Bavarian variety spoken in the language island of Sauris/Zahre in Italy. We collected a dataset of 9,000 words and approximately 80 minutes of speech. The goal is to reduce the transcription workload of field linguists. The method used is a deep learning approach based on the language-specific tuning of a generic pre-t...

Numerical and Experimental Analysis of the Structural Behavior of an EPP Component

The use of expanded polymeric materials is becoming increasingly widespread in the industrial sector, not only for energy absorption purposes but also for structural applications. The most widely used approach to model the large strain elastic response of polymer foams in a finite element (FE) solution is the use of the Ogden–Hill hyperelastic material model. We performed a uniaxial and simple shear test to calibrate the model’s parameters. In this work, a compression test was performed on a ...

Measurement of Office Activities Using Non-Contact Ultrasonic Sensors and Accelerometer: Accuracy Comparison and Optimal Use Cases

Human Activity Recognition (HAR) plays a crucial role in optimizing indoor environmental conditions, improving occupant comfort, and enhancing energy efficiency in smart buildings. Various sensing technologies, including ultrasonic (US) sensors and accelerometers, are commonly used for HAR, each offering distinct advantages. US sensors provide non-intrusive monitoring while preserving privacy, whereas accelerometers enable personalized activity tracking but require user compliance. This study...

Experimental Campaigns for the Assessment of Indoor Personalized Comfort Based on a Multidomain Platform

This paper presents two extended experimental campaigns performed for the assessment of indoor personalized comfort in two different seasons, namely summer and winter. The tests have been integrally performed using a dedicated digital platform developed within the framework of the WEPOP project (WEarable Platform for Optimised Personal comfort, Prot. 2022RKLB3J). Tests were performed within the NEXT.ROOM, an innovative test room aimed at performing multidomain assessment. A dedicated platform...

Enhancing the Built Environment Resilience: Integrating the MULTICLIMACT CREMA Tool, Sensing and Digital Solutions for Building Protection and Occupants' Well-Being Assessment

As climate conditions worsen and extreme events become more frequent, it is urgent to design, retrofit, and plan for the built environment resilience to present and future risks. Too often, the built environment is a source of vulnerability rather than a safe heaven. Therefore, mitigation and adaptation strategies must focus on resilience in both the built environment and human well-being. The MULTICLIMACT project (GA n. 101123538) aims to develop a mainstream framework and tool to help publi...

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