SELEZIONE PUBBLICA, PER TITOLI E COLLOQUIO, PER IL CONFERIMENTO DI N. 1 ASSEGNO DI RICERCA PRESSO L’UNIVERSITÀ DEGLI STUDI DI ENNA “KORE”.
Macro-settore: 09/H, SSD: ING-INF/05
Link al bando: https://www.unikore.it/index.php/it/contratti-di-ricerca/item/35927-selezione-pubblica-per-titoli-e-colloquio-per-il-conferimento-di-n-1-assegno-di-ricerca-presso-l-universita-degli-studi-di-enna-kore
Scadenza 16/03/2020 ore 12:00
The Laboratory of Speech Technology Language and Machine Learning (STMLab) at the Kore University of Enna has a vacancy for a Researcher Fellowship on the recently funded Phonetic analysis of dysarthria speech by speakers of different varieties of Italian project. This project is in the PRIN 2017 programme of the Italian Ministry of Education, University and Research. The PRIN - Research Projects of National Relevance, program is a funding allocation mechanism, based on specific key points: co-financing, group research work and the principle of peer review.
The project focuses on idiopathic Parkinson’s disease dysarthric speech, produced by speakers of two varieties of Italian that show different segmental (consonantal, vocalic) and prosodic characteristics. The project as a whole aims at:
Identifying phonetic features that impact on speech intelligibility and accuracy, separating variability due to dysarthria from features due to sociolinguistic variation;
Developing perspectives and tools for clinical practice that take variation into account.
The local unit aims at achieving those goals by:
Collecting the first acoustic and articulatory corpus on dysarthric speech produced by speakers of two varieties of Italian;
Analyzing the phonetic features of two severity levels of dysarthric speech, taking into account (1) both segmental and prosodic characteristics, (2) articulatory information, as well as acoustics, (3) the phonological features of the linguistic systems of the speakers;
Realizing a tool based on both acoustic and articulatory data, aimed to orient and customize rehabilitation;
Implementing a dual purpose software (based on acoustic and articulatory data) for the objective assessment of speech accuracy/intelligibility, with regard to both dysarthria severity and the early diagnosis of dysarthria.
The qualified candidate will combine deep knowledge of speech technology and machine learning for heath-related tasks. The research will be documented in scientific publications in appropriate journals and relevant conference proceedings, and in Open Source software tools.
Are you interested?
Send an email to Prof. Sabato Marco Siniscalchi, E-mail: marco.siniscalchi-at-unikore.it