Exhibitors 2020
- CULTURAL HERITAGE
- AEROSPACE
- ARTIFICIAL INTELLIGENCE
- DRONES
- EDUCATION
- ENERGY & SUSTAINABILITY
- FOOD & AGRICULTURE
- HOME AUTOMATION
- INTERNET OF THINGS
- KIDS & EDUCATION
- NEW MANUFACTURING
- OPEN SOURCE
- RECYCLING & UPCYCLING
- ROBOTICS
- SCIENCE
- 3D PRINTING
- ART
- ARTISANS & NEW CRAFT
- BIOLOGY
- FABRICATION
- GAMES
- HACKS
- STEAM PUNK
- WELLNESS & HEALTHCARE
- YOUNG MAKERS (< 18)
- 3D SCANNING
- MUSIC & SOUND
- FASHION & WEARABLES
CapisciAMe
“CapisciAMe” uses machine learning approaches for automatic speech recognition in presence of dysarthria. Our app, available on Play Store, allows users with speech disorders to “donate” their voice samples, by uttering selected keywords. The audio contributions are stored over the cloud, they are processed by artificial intelligence-based algorithms to recognize a few voice commands (speaker dependent methods). After the training process, you can get a custom app version on your mobile. “CapisciAMe” plugins exploit the automatic speech recognition in smart home automation scenarios.
Davide Mulfari
Davide Mulfari is a computer engineer. He works as technician at the “Assistive Technology for Special Needs” office of the University of Messina (Italy). In 2020, Davide received his PhD in Information Engineering from the University of Pisa, and he received his Master’s Degree in Computer Engineering from the University of Messina (Italy) in 2012. In the same year, he won Google Europe Scholarship for Students with Disabilities. From 2013 to 2016 Davide worked as assistant researcher at the University of Messina. Davide Mulfari's research interests mainly include the evaluation of newest ICT trends, including deep learning and Internet of Things, as low cost assistive technology solutions for users with disabilities. He published results of his research work in more than 30 technical contributions to international conferences and journals.
