Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jon Gudnason"'
Publikováno v:
Sensors, Vol 22, Iss 18, p 6894 (2022)
Monitoring cognitive workload has the potential to improve both the performance and fidelity of human decision making. However, previous efforts towards discriminating further than binary levels (e.g., low/high or neutral/high) in cognitive workload
Externí odkaz:
https://doaj.org/article/bb96cb9f498d4c298be05d9e36b52af5
Publikováno v:
SLTU
Speech data acquisition is particularly important for under-resourced languages. The data gathering is the most labour-intensive part of developing speech technologies such as automatic speech recognizers and synthesizers. It is therefore important t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f878aa81564b3da8480b438a20bd178f
https://doi.org/10.1016/j.procs.2016.04.029
https://doi.org/10.1016/j.procs.2016.04.029
Autor:
Christian Bean, Brynjar Olafsson, Eydís Huld Magnúsdóttir, Jon Gudnason, Kamilla Run Johannsdottir
Publikováno v:
2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
Monitoring cognitive workload has the potential to improve performance and fidelity in human decision making through a real-time monitoring model. Multiple studies have shown a successful binary classification of high and low workload using various m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f4518ef0b4e8e5c176469127b7a0edf
https://doi.org/10.1109/coginfocom.2017.8268269
https://doi.org/10.1109/coginfocom.2017.8268269
Autor:
Eydís Huld Magnúsdóttir, Jon Gudnason, Michal Borsky, Kamilla Run Johannsdottir, Manuela Meier
Publikováno v:
2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
Monitoring cognitive workload from speech signals has received a lot of attention from researchers in the past few years as it has the potential to improve performance and fidelity in human decision making. The bulk of the research has focused on cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b89b1c3d6cf9f6302a727d9f6accb6
https://doi.org/10.1109/coginfocom.2016.7804532
https://doi.org/10.1109/coginfocom.2016.7804532
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4518b5c2215bd8a1ac96f2f0f9e1ee4
https://doi.org/10.21437/interspeech.2016-1194
https://doi.org/10.21437/interspeech.2016-1194
Publikováno v:
Speech Communication. 54:199-211
A data-driven approach is introduced for studying, analyzing and processing the voice source signal. Existing approaches parameterize the voice source signal by using models that are motivated, for example, by a physical model or function-fitting. Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fd0545dfb082b4a5ff184e1a143e2df
https://doi.org/10.1016/j.specom.2011.08.003
https://doi.org/10.1016/j.specom.2011.08.003
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 45:1512-1524
The work presented here introduces a procedure for the automatic recognition of ground-based targets from high range resolution (HRR) profile sequences that may be obtained from a synthetic aperture radar (SAR) platform. The procedure incorporates an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f96e8c3afa0dd5b0ec8d2ce4d8f174df
https://doi.org/10.1109/taes.2009.5310314
https://doi.org/10.1109/taes.2009.5310314
Publikováno v:
ICASSP
Glottal inverse filtering methods are designed to derive a glottal flow waveform from a speech signal. In this paper, we evaluate and compare such methods using a speech synthesizer that simulates voice production in a physiologically-based manner th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62d579060e91136647669f84867d9e0c
https://doi.org/10.1109/icassp.2015.7178771
https://doi.org/10.1109/icassp.2015.7178771
Publikováno v:
IEEE Transactions on Audio, Speech and Language Processing. 14:456-466
Measures based on the group delay of the LPC residual have been used by a number of authors to identify the time instants of glottal closure in voiced speech. In this paper, we discuss the theoretical properties of three such measures and we also pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1ee29719dbc1f446ee619a247edfde4
https://doi.org/10.1109/tsa.2005.857810
https://doi.org/10.1109/tsa.2005.857810
Autor:
Eydís Huld Magnúsdóttir, Michal Borsky, Jon Gudnason, Kamilla Run Johannsdottir, Manuela Meier
Publikováno v:
Periodica Polytechnica Electrical Engineering and Computer Science. 61:297
Monitoring cognitive workload from speech signals has received much attention from researchers in the past few years as it has the potential to improve performance and fidelity in human decision making. The bulk of the research has focused on classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb077d422077f89eeeb6667672cbdfd9
https://doi.org/10.3311/ppee.10414
https://doi.org/10.3311/ppee.10414