Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Miklos Gabriel Tulics"'
Publikováno v:
Acta Polytechnica Hungarica. 18:47-66
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92a07c82d8d0c98576ebefbc4b60c26c
https://doi.org/10.12700/aph.18.7.2021.7.3
https://doi.org/10.12700/aph.18.7.2021.7.3
Publikováno v:
Infocommunications journal. 12:17-23
Noise from our environment is causing evergreater problems such as hearing loss among the young. In many cases, children may be exposed to harmful noise even in the most common places such as schools and events. For this reason, we developed a web ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56403f522ee11e84954c7b733c284316
https://doi.org/10.36244/icj.2020.3.3
https://doi.org/10.36244/icj.2020.3.3
Autor:
Miklos Gabriel Tulics, Klára Vicsi
Publikováno v:
International Journal of Speech Technology. 22:341-350
Perceptual evaluation of the patient’s voice is the most commonly used method in everyday clinical practice. We propose an automatic approach for the prediction of severity of some types of organic and functional dysphonia. By means of an unsupervi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::340703e6cb37796d2ec722b50460ce32
https://doi.org/10.1007/s10772-019-09592-y
https://doi.org/10.1007/s10772-019-09592-y
Publikováno v:
2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
Dysphonia can be caused not only by the frequent use voice, but many other reasons, including environmental noise, environmental pollution and dry environment. Dysphonia can serve as an indicator for several serious and less serious diseases. Therefo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c165a95127f4fcdd8cdceb833bbe237c
https://doi.org/10.1109/coginfocom50765.2020.9237866
https://doi.org/10.1109/coginfocom50765.2020.9237866
Autor:
Miklos Gabriel Tulics, Klára Vicsi
Publikováno v:
Infocommunications journal. :30-36
Dysphonia is a common complaint, almost every fourth child produces a pathological voice. A mobile based filtering system, that can be used by pre-school workers in order to recognize dysphonic voiced children in order to get professional help as soo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::637415a828d66a45ffe98eaef989a0bd
https://doi.org/10.36244/icj.2018.3.5
https://doi.org/10.36244/icj.2018.3.5
Publikováno v:
SpeD
It is an interesting question whether it is possible to separate functional (FD) from organic dysphonia (OD). The present study has investigated this possibility by the use of two carefully constructed databases and support vector machines, with ener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fd113d1e545989db2ed523072aa3e52
https://doi.org/10.1109/sped.2019.8906613
https://doi.org/10.1109/sped.2019.8906613
Publikováno v:
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
In cognitive infocommunication inspired speech processing one of the most important, but challenging areas of research is the analysis and classification of voice disorders. This paper investigates and compares various input vectors and classificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6dcadc53e9a4a4e3d009140e9dd39a
https://doi.org/10.1109/coginfocom47531.2019.9089908
https://doi.org/10.1109/coginfocom47531.2019.9089908
Publikováno v:
SpeD
Numerous changes in health condition can cause speech disorders and voice impairments. The present paper aims not only to separate speech samples of healthy speakers from a larger set of diseases, namely depression, Parkinson’s disease, structural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5cce4aebfb7266a71ad7f2244e203f4
https://doi.org/10.1109/sped.2019.8906556
https://doi.org/10.1109/sped.2019.8906556
Publikováno v:
TSP
Special disease types may affect the complex mechanisms of speech production in different ways, causing various speech disorders. This is the reason why extraction of biomarkers from speech could be reliable indicators of those diseases. The present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa6ce0a84d059d5e95dc49dbe23e6db
https://doi.org/10.1109/tsp.2018.8441395
https://doi.org/10.1109/tsp.2018.8441395
Publikováno v:
2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
Diseases, such as Parkinson, impairs cognitive processes of patients, through which speech is also affected. In this paper, we propose a method for Parkinson's disease severity level estimation based on speech rhythm related features extracted from r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5595eb41720c5cd027e94bc7ff73cd89
https://doi.org/10.1109/coginfocom.2017.8268208
https://doi.org/10.1109/coginfocom.2017.8268208