Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Okko Rasanen"'
Publikováno v:
IEEE Access, Vol 7, Pp 17230-17246 (2019)
Speaking style conversion (SSC) is the technology of converting natural speech signals from one style to another. In this study, we aim to provide a general SSC system for converting styles with varying vocal effort and focus on normal-to-Lombard con
Externí odkaz:
https://doaj.org/article/75878375cd5f4fc79cd50856272b3c70
Autor:
Yuanyuan Liu, Mittapalle Kiran Reddy, Nelly Penttila, Tiina Ihalainen, Paavo Alku, Okko Rasanen
Speech from people with Parkinson's disease (PD) are likely to be degraded on phonation, articulation, and prosody. Motivated to describe articulation deficits comprehensively, we investigated 1) the universal phonological features that model articul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a14d53ba241739380d146e4fa5f84a37
https://aaltodoc.aalto.fi/handle/123456789/118943
https://aaltodoc.aalto.fi/handle/123456789/118943
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Assessing infant carrying and holding (C/H), or physical infant-caregiver interaction, is important for a wide range of contexts in development research. An automated detection and quantification of infant C/H is particularly needed in long
Externí odkaz:
https://doaj.org/article/599cb6a7145f446b9256b53634a9a3e3
Autor:
Manu Airaksinen, Elisa Taylor, Anastasia Gallen, Elina Ilén, Antti Saari, Ulla Sankilampi, Okko Räsänen, Leena M. Haataja, Sampsa Vanhatalo
Publikováno v:
EBioMedicine, Vol 92, Iss , Pp 104591- (2023)
Summary: Background: Early neurodevelopmental care and research are in urgent need of practical methods for quantitative assessment of early motor development. Here, performance of a wearable system in early motor assessment was validated and compare
Externí odkaz:
https://doaj.org/article/0e39cc7bfe6446a5920bae8941aa056f
Autor:
Manu Airaksinen, Anastasia Gallen, Anna Kivi, Pavithra Vijayakrishnan, Taru Häyrinen, Elina Ilén, Okko Räsänen, Leena M. Haataja, Sampsa Vanhatalo
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-14 (2022)
Airaksinen et al. describe an infant wearable system that accurately quantifies key aspects of infant motor ability and uses deep learning algorithms to analyze movement signals. Motor ability age and maturation can be predicted, with the predictions
Externí odkaz:
https://doaj.org/article/e693172aecd5426d87be79a560f88cad
Publikováno v:
Sensors, Vol 23, Iss 7, p 3773 (2023)
Infant motility assessment using intelligent wearables is a promising new approach for assessment of infant neurophysiological development, and where efficient signal analysis plays a central role. This study investigates the use of different end-to-
Externí odkaz:
https://doaj.org/article/77a432766a004c0e94b759dabe9e5906
Autor:
Khazar Khorrami, Okko Räsänen
Publikováno v:
Language Development Research, Vol 1, Iss 1 (2021)
Decades of research has studied how language learning infants learn to discriminate speech sounds, segment words, and associate words with their meanings. While gradual development of such capabilities is unquestionable, the exact nature of these ski
Externí odkaz:
https://doaj.org/article/16f852c0338b4122a9b43e153d3a13f1