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Tipologia Anno Titolo Titolo inglese Autore File
Lauree magistrali 2024 Uno studio preliminare sul riconoscimento delle vocali mediante reti neurali convoluzionali per individui con disturbi del linguaggio nella lingua italiana A Preliminary Study on Vowel Recognition using Convolutional Neural Networks for Individuals with Speech Disorders in the Italian Language CHEN, HUIMIN
Lauree triennali 2022 Valorizzazione dei rulli traforati per autopiano: progetto e sviluppo di un software per la conversione in formato MIDI delle scansioni. Enhancement of perforated rolls for player piano: design and development of software for converting scans into MIDI format. FRONTINI, FEDERICO
Lauree magistrali 2022 Variational Autoencoders and their use for Sound Generation Variational Autoencoders and their use for Sound Generation DE LUCA, CHIARA
Lauree magistrali 2024 Virtual Reality Re-activation of Multimedia Installation art Interactive multimedia artworks face unique preservation challenges, including the obsolescence of original components, software, and playback devices, as well as their interactive and time-based nature. To address these challenges, the Centro di Sonologia Computazionale (CSC) at the University of Padova has been developing the Multilevel Dynamic Preservation (MDP) model since 2014. This model views multimedia artworks as dynamic objects, enabling a deeper understanding of their complexity and ensuring long-term preservation.The research team of CSC started towork together with Italian artist Roberto Taroni, who often combined music and visual arts in his works.This thesis concerns reactivation in VR of Roberto Taroni's artwork"Casa Dolce Cass". Central to this effort is the creation of a virtual 3D environment designed to host Taroni’s artwork Casa Dolce Casa. This digital reconstruction showcases two of Taroni’s videos, which are dynamically played, moved, and overlapped at specific points before resuming their independent movements. By blending artistic expression with engineering precision, the 3D room exemplifies the MDP model’s commitment to preserving both the conceptual and experiential integrity of multimedia artworks. This approach ensures that audiences can engage with these complex works in a manner that remains faithful to their original interactive and immersive nature. TAHERZADEH, FATEMEH
Lauree magistrali 2024 Vowel Recognition in SoundRise: A Machine Learning Approach to Improve Accuracy and Reliability Vowel Recognition in SoundRise: A Machine Learning Approach to Improve Accuracy and Reliability FRIGATO, FRANCESCO
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