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5 results on '"Rantula, Olli"'

1. Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study

Author

Santala, Onni E, primary, Lipponen, Jukka A, additional, Jäntti, Helena, additional, Rissanen, Tuomas T, additional, Tarvainen, Mika P, additional, Laitinen, Tomi P, additional, Laitinen, Tiina M, additional, Castrén, Maaret, additional, Väliaho, Eemu-Samuli, additional, Rantula, Olli A, additional, Naukkarinen, Noora S, additional, Hartikainen, Juha E K, additional, Halonen, Jari, additional, and Martikainen, Tero J, additional

Published
2022
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2. Continuous 24-h Photoplethysmogram Monitoring Enables Detection of Atrial Fibrillation

Author

Väliaho, Eemu-Samuli, primary, Lipponen, Jukka A., additional, Kuoppa, Pekka, additional, Martikainen, Tero J., additional, Jäntti, Helena, additional, Rissanen, Tuomas T., additional, Castrén, Maaret, additional, Halonen, Jari, additional, Tarvainen, Mika P., additional, Laitinen, Tiina M., additional, Laitinen, Tomi P., additional, Santala, Onni E., additional, Rantula, Olli, additional, Naukkarinen, Noora S., additional, and Hartikainen, Juha E. K., additional

Published
2022
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3. SIAK — A Game for Foreign Language Pronunciation Learning

Author

Karhila, Reima, Ylinen, Sari, Enarvi, Seppo, Palomäki, Kalle, Nikulin, Aleksander, Rantula, Olli, Viitanen, Vertti, Dhinakaran, Krupakar, Smolander, Anna-Riikka, Kallio, Heini, Junttila, Katja, Uther, Maria, Hämäläinen, Perttu, Kurimo, Mikko, Dept Signal Process and Acoust, University of Helsinki, Department of Computer Science, University of Winchester, Department of Media, Aalto-yliopisto, and Aalto University

Subjects
phonetics, speech analysis, pronunciation grading, language learning
Abstract

We introduce a digital game for children’s foreign-language learning that uses automatic speech recognition (ASR) for evaluating children’s utterances. Our first prototype focuses on the learning of English words and their pronunciation. The game connects to a network server, which handles the recognition and pronunciation grading of children’s foreign-language speech. The server is reusable for different applications. Given suitable acoustic models, it can be used for grading pronunciations in any language.

Published
2017

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