Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Saska Tirronen"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 4, Pp 80-88 (2023)
Previous studies on the automatic classification of voice disorders have mostly investigated the binary classification task, which aims to distinguish pathological voice from healthy voice. Using multi-class classifiers, however, more fine-grained id
Externí odkaz:
https://doaj.org/article/5a8e8f3c45de4706a6275b27483d343b
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bb2f7e977fec4ed97f94ec704044cfc
https://doi.org/10.1109/icassp49357.2023.10094857
https://doi.org/10.1109/icassp49357.2023.10094857
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82e53f2718e5bae918344a4a1d89ad4c
https://doi.org/10.1109/icassp49357.2023.10094798
https://doi.org/10.1109/icassp49357.2023.10094798
Previous studies on the automatic classification of voice disorders have mostly investigated the binary classification task, which aims to distinguish pathological voice from healthy voice. Using multi-class classifiers, however, more fine-grained id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4749a9d75f22be7beac0eca91eb434b1
https://aaltodoc.aalto.fi/handle/123456789/120013
https://aaltodoc.aalto.fi/handle/123456789/120013
Publikováno v:
Journal of voice : official journal of the Voice Foundation.
Automatic voice pathology detection is a research topic, which has gained increasing interest recently. Although methods based on deep learning are becoming popular, the classical pipeline systems based on a two-stage architecture consisting of a fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d15ede5c04d29082263e6a56c6266d28
https://pubmed.ncbi.nlm.nih.gov/35490081
https://pubmed.ncbi.nlm.nih.gov/35490081