Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Johan Rohdin"'
Autor:
Sangeeta Biswas, Johan Rohdin, Andrii Kavetskyi, Gabriel Saraiva, Angkan Biswas, Martin Drahansky
Publikováno v:
IEEE Access, Vol 9, Pp 63012-63028 (2021)
While our left and right eyes clearly have a high degree of external bilateral similarity, it is less obvious to what degree they have internal bilateral similarity. This is especially true for the central retinal blood vessels (CRBVs), which are res
Externí odkaz:
https://doaj.org/article/135432587a3040dbaf656c66044713e8
Publikováno v:
IEEE Access, Vol 9, Pp 109624-109651 (2021)
We have previously shown that there is a high degree of bilateral similarity in the central retinal blood vessels (CRBVs), which are responsible for supplying blood to retinas and can be used as a strong biometric. We have also shown that a side-inde
Externí odkaz:
https://doaj.org/article/6b28a305e1b44d95aad6abfb571fdfa4
Autor:
Sangeeta Biswas, Md. Iqbal Aziz Khan, Md. Tanvir Hossain, Angkan Biswas, Takayoshi Nakai, Johan Rohdin
Publikováno v:
Life, Vol 12, Iss 7, p 973 (2022)
Color fundus photographs are the most common type of image used for automatic diagnosis of retinal diseases and abnormalities. As all color photographs, these images contain information about three primary colors, i.e., red, green, and blue, in three
Externí odkaz:
https://doaj.org/article/0a2c85dce0b44240a6646a0686c71caf
Autor:
Andrii Kavetskyi, Johan Rohdin, Gabriel Saraiva, Martin Drahansky, Sangeeta Biswas, Angkan Biswas
Publikováno v:
IEEE Access, Vol 9, Pp 63012-63028 (2021)
While our left and right eyes clearly have a high degree of external bilateral similarity, it is less obvious to what degree they have internal bilateral similarity. This is especially true for the central retinal blood vessels (CRBVs), which are res
Autor:
Oldřich Plchot, Mireia Diez, Pavel Matějka, Anna Silnova, Ondřej Glembek, Lukas Burget, Johan Rohdin
Publikováno v:
Computer Speech & Language. 59:22-35
Recently several end-to-end speaker verification systems based on deep neural networks (DNNs) have been proposed. These systems have been proven to be competitive for text-dependent tasks as well as for text-independent tasks with short utterances. H
Autor:
Anna Silnova, Themos Stafylakis, Ladislav Mošner, Oldřich Plchot, Johan Rohdin, Pavel Matĕjka, Lukáš Burget, Ondřej Glembek, Niko Brummer
Publikováno v:
Proceedings of The Speaker and Language Recognition Workshop (Odyssey 2022)
The Speaker and Language Recognition Workshop (Odyssey 2022)
The Speaker and Language Recognition Workshop (Odyssey 2022)
In this paper, we analyze the behavior and performance of speaker embeddings and the back-end scoring model under domain and language mismatch. We present our findings regarding ResNet-based speaker embedding architectures and show that reduced tempo
Publikováno v:
Proc. The Speaker and Language Recognition Workshop (Odyssey 2022)
The Speaker and Language Recognition Workshop (Odyssey 2022)
The Speaker and Language Recognition Workshop (Odyssey 2022)
Autor:
Johan Rohdin, Jan Cernocký, Sergej Zerr, Dawei Zhu, Aravind Krishnan, Marek Kovac, Joshua Hughes, Maël Fabien, Miroslav Janosik, Miroslav Skácel, Hoang H. Nguyen, Jan Hořínek, Shantipriya Parida, Kvetoslav Maly, Dietrich Klakow, Francesco Calderoni, Erinç Dikici, Gerhard Backfried, Petr Motlicek
Publikováno v:
Proc. 2021 ISCA Symposium on Security and Privacy in Speech Communication
2021 ISCA Symposium on Security and Privacy in Speech Communication
2021 ISCA Symposium on Security and Privacy in Speech Communication
Publikováno v:
Interspeech 2021
Speaker embeddings extracted with deep 2D convolutional neural networks are typically modeled as projections of first and second order statistics of channel-frequency pairs onto a linear layer, using either average or attentive pooling along the time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61cff62994ad8dae2308fd41611cdfee
Publikováno v:
Odyssey
Odyssey 2020 The Speaker and Language Recognition Workshop
Odyssey 2020 The Speaker and Language Recognition Workshop