👋 Master's in Psychological Sciences and a Bachelor's in Speech Therapy. My career has been enriched by a neuropsychological rehabilitation, speech therapy, and healthcare applications of data science. Complementing my academic and professional pursuits, I've engaged in programming courses to deepen my technical skills, particularly in Python, R, and data analysis, ensuring a robust toolkit for tackling complex data-driven challenges in healthcare. Currently involved in a research project @UniUD focusing on multilevel narrative speech evaluation & applying NLP for transcript analysis.
The Talkidz project represents an innovative initiative in the field of language development and disorders in children, combining the robust methodologies of natural language processing (NLP) and machine learning (ML) to facilitate a comprehensive and automated assessment of children's expressive language capabilities. Initially crafted using Visual Basic, the software has since migrated to Python, a strategic move designed to leverage the vast ecosystem of libraries and advanced ML techniques available within this programming language. This transition not only enhances the tool's analytical capabilities but also broadens its accessibility and potential applications by transitioning towards an online platform. Talkidz meticulously analyzes children's speech, focusing on critical linguistic indices such as phonetic-phonological accuracy, morphosyntactic complexity, and lexical diversity. By employing advanced NLP techniques, Talkidz is capable of quantitatively assessing these indices, providing invaluable insights into a child's language development or identifying potential expressive language disorders. A unique feature of Talkidz is its ability to analyze speech transcriptions in the International Phonetic Alphabet (IPA), offering a detailed and precise evaluation of phonetic-phonological aspects of language. This analysis is particularly enhanced by tools that convert Italian text into IPA, such as the one available here. This tool is essential for researchers, clinicians, and educators, facilitating a deeper understanding of language disorders and enabling early, accurate intervention strategies.
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| Title | Conference / Collaboration | Explanation |
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| Ontologies and Open Data for Enriching Personalized Social Moments in Human Robot Interaction | 30th ACM Conference on User Modeling Adaptation and Personalization, July 2022 | Utilization of ontologies and open data to enhance interactivity and personalized experiences in human-robot interaction |
| Sugar, Salt & Pepper-Humanoid Robotics for Autism | 2021 Joint ACM Conference on Intelligent User Interfaces Workshops | Application of humanoid robotics, specifically the Pepper robot, in supporting individuals with autism, focusing on improving social interactions and therapeutic outcomes |
| Sentiment Analysis and Natural Language Processing in the Diagnosis and Evaluation of Language Disorders in Children with Autism Spectrum Disorder: A Pilot Study | University of Turin, Speech Language Pathology BA | Examines the potential of sentiment analysis and NLP in diagnosing and evaluating language disorders in children with autism |
| Talkidz – Software for Infant Language Evaluation. Morphosyntactic Data of a Normative Sample | University of Turin, Speech Language Pathology BA | Contributes to the development of Talkidz software, focusing on morphosyntactic analysis of child language |
| Talkidz – Software for Infant Language Evaluation. Phonetic-Phonological Data of a Normative Sample | University of Turin, Speech Language Pathology BA | Contributes to the phonetic-phonological components of the Talkidz software |
| The Role of Praxic Abilities in Semantic-Lexical Processing: An Experimental Study with High and Low Body-Object Interaction Words | University of Turin, Speech Language Pathology BA | Explores the relationship between praxic abilities and lexical processing |
| Development of Quantitative Techniques and Signal and Image Analysis in Speech Therapy | Polytechnic University of Turin, Biomedical Engineering MA | Focuses on the application of quantitative techniques and analysis in speech therapy and video-analysis for feature extraction |
| Implementation of a Software for Language Analysis in Python | University of Turin, Computer Science BA | Details the development of a language analysis tool using Python |