50 questions on Active Assisted Living technologies. Global edition

no code implementations • 22 Oct 2024 • Francisco Florez-Revuelta, Alin Ake-Kob, Pau Climent-Perez, Paulo Coelho, Liane Colonna, Laila Dahabiyeh, Carina Dantas, Esra Dogru-Huzmeli, Hazim Kemal Ekenel, Aleksandar Jevremovic, Nina Hosseini-Kivanani, Aysegul Ilgaz, Mladjan Jovanovic, Andrzej Klimczuk, Maksymilian M. Kuźmicz, Petre Lameski, Ferlanda Luna, Natália Machado, Tamara Mujirishvili, Zada Pajalic, Galidiya Petrova, Nathalie G. S. Puaschitz, Maria Jose Santofimia, Agusti Solanas, Wilhelmina van Staalduinen, Ziya Ata Yazıcı

This booklet is designed to guide you through the role that AAL technologies play in improving the quality of life for older adults, caregivers, and people with disabilities.

Experiments of ASR-based mispronunciation detection for children and adult English learners

no code implementations • 13 Apr 2021 • Nina Hosseini-Kivanani, Roberto Gretter, Marco Matassoni, Giuseppe Daniele Falavigna

In this study, we develop a mispronunciation assessment system that checks the pronunciation of non-native English speakers, identifies the commonly mispronounced phonemes of Italian learners of English, and presents an evaluation of the non-native pronunciation observed in phonetically annotated speech corpora.

Language Modelling speech-recognition +1

Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies

no code implementations • ACL 2019 • Nina Hosseini-Kivanani, Juan Camilo V{\'a}squez-Correa, Manfred Stede, Elmar N{\"o}th

In the present study, we plan to analyze the speech signals of PD patients and healthy control (HC) subjects in three different languages: German, Spanish, and Czech, with the aim to identify biomarkers to discriminate between PD patients and HC subjects and to evaluate the neurological state of the patients.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1