Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Simon Dobrišek"'
Publikováno v:
Systems Science & Control Engineering, Vol 10, Iss 1, Pp 636-644 (2022)
Finite-state transducers have been proven to yield compact representations of pronunciation dictionaries used for grapheme-to-phoneme conversion in speech engines running on low-resource embedded platforms. However, for highly inflected languages eve
Externí odkaz:
https://doaj.org/article/fe9c98f3172c45799e319405d114ae2d
Publikováno v:
Sensors, Vol 22, Iss 6, p 2388 (2022)
Most commercially successful face recognition systems combine information from multiple sensors (2D and 3D, visible light and infrared, etc.) to achieve reliable recognition in various environments. When only a single sensor is available, the robustn
Externí odkaz:
https://doaj.org/article/29d3634807634ee7a4de6e8ef0180950
Publikováno v:
Applied Sciences, Vol 11, Iss 5, p 2070 (2021)
The new Coronavirus disease (COVID-19) has seriously affected the world. By the end of November 2020, the global number of new coronavirus cases had already exceeded 60 million and the number of deaths 1,410,378 according to information from the Worl
Externí odkaz:
https://doaj.org/article/dfa2ddeef06f4b05b4959b2188fdfe3c
Publikováno v:
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 4, Iss 1 (2017)
Računalniški modeli končnih pretvornikov omogočajo zgoščeno predstavitev slovarjev izgovarjav, ki jih uporabljajo tako sintetizatorji govora kot tudi razpoznavalniki govora. V članku je predstavljen nov tip končnih pretvornikov, t. i. končni
Externí odkaz:
https://doaj.org/article/c09aaddf964d4ee881bbdebcbcbc88b8
Publikováno v:
Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 1, Iss 2 (2013)
Članek obravnava tehnologije govorjenega jezika, ki bi lahko omogočile t. i. pametnim nadzornim sistemom, da bi nekoč prisluhnili, razumeli in spregovorili slovensko. Tovrstni sistemi se z uporabo senzorjev in naprednih računalniških metod umetn
Externí odkaz:
https://doaj.org/article/70c0715ce15a479882c1dc7b80301b62
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
The paper presents a multi-modal emotion recognition system exploiting audio and video (i.e., facial expression) information. The system first processes both sources of information individually to produce corresponding matching scores and then combin
Externí odkaz:
https://doaj.org/article/a48916a548994239b86c777d023730b9
Robust Depth Image Acquisition Using Modulated Pattern Projection and Probabilistic Graphical Models
Publikováno v:
Sensors, Vol 16, Iss 10, p 1740 (2016)
Depth image acquisition with structured light approaches in outdoor environments is a challenging problem due to external factors, such as ambient sunlight, which commonly affect the acquisition procedure. This paper presents a novel structured light
Externí odkaz:
https://doaj.org/article/1e473a3db1e444a68e2b12301c9e6aa8
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
This paper focuses on the use of Gaussian Mixture models (GMM) for 3D face verification. A special interest is taken in practical aspects of 3D face verification systems, where all steps of the verification procedure need to be automated and no meta-
Externí odkaz:
https://doaj.org/article/aa5f326fff5f4bf6ab650fda374c3280
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
Finite-state transducers are frequently used for pronunciation lexicon representations in speech engines, in which memory and processing resources are scarce. This paper proposes two possibilities for further reducing the memory footprint of finite-s
Externí odkaz:
https://doaj.org/article/437c63975fe64da38f26bd43fe9c0e06
Autor:
Martin Pernuš, Mansi Bhatnagar, Badr Samad, Divyanshu Singh, Peter Peer, Vitomir štruc, Simon Dobrišek
Publikováno v:
IEEE Access. 11:49971-49991
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c9c5bc45dd226a9da6f990652ebff25
https://doi.org/10.1109/access.2023.3276877
https://doi.org/10.1109/access.2023.3276877