Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Peter Jancovic"'
Autor:
Ganna Raboshchuk, Climent Nadeu, Peter Jancovic, Alex Peiro Lilja, Munevver Kokuer, Blanca Munoz Mahamud, Ana Riverola De Veciana
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 6, Pp 1-10 (2018)
A large number of alarm sounds triggered by biomedical equipment occur frequently in the noisy environment of a neonatal intensive care unit (NICU) and play a key role in providing healthcare. In this paper, our work on the development of an automati
Externí odkaz:
https://doaj.org/article/cc7a1f0ffa134c50a71e6956c1203bc3
Autor:
Peter Jancovic, Munevver Kokuer
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 27:932-947
This paper investigates acoustic modeling for recognition of bird species from audio field recordings. First, the acoustic scene is decomposed into isolated segments, corresponding to detected sinusoids. Each segment is represented by a sequence of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1826f992b30e8c2c95781a4ea76dcf6
https://doi.org/10.1109/taslp.2019.2904790
https://doi.org/10.1109/taslp.2019.2904790
Following the peaceful dissolution of Czechoslovakia, the Slovak Republic emerged as an independent nation and embarked on a journey of economic transition and reform. During the thirty early years of independence, Slovakia faced many challenges, inc
Publikováno v:
EUSIPCO
This paper describes automatic systems for human activity recognition and identification of subjects based on sensorised objects. The action recognition system is based on a deep neural network – hidden Markov model (DNN–HMM) with augmentation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e3b8f442b571bb57eab3168fb95b4be
https://doi.org/10.23919/eusipco47968.2020.9287363
https://doi.org/10.23919/eusipco47968.2020.9287363
Publikováno v:
Computer Speech & Language. 50:141-156
A speech signal contains important paralinguistic information, such as the identity, age, gender, language, accent, and the emotional state of the speaker. Automatic recognition of these types of information in adults’ speech has received considera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c5e6f66e141acbf6262eeb57f2c982c
https://doi.org/10.1016/j.csl.2018.01.001
https://doi.org/10.1016/j.csl.2018.01.001
Publikováno v:
SLaTE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c403133ef8a841b9c5f7397c070f35c3
https://doi.org/10.21437/slate.2019-3
https://doi.org/10.21437/slate.2019-3
Publikováno v:
EUSIPCO
This paper describes a deep neural network – hidden Markov model (DNN-HMM) human activity recognition system based on instrumented objects and studies compensation strategies to deal with object variability. The sensors, comprising an accelerometer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f3932217ce0d1e6b3178e1bddb0bd6
https://doi.org/10.23919/eusipco.2019.8903124
https://doi.org/10.23919/eusipco.2019.8903124
This paper presents the curation and annotation of a collection of traditional Irish flute recordings to facilitate the analysis of stylistic characteristics. We introduce the structure of Irish tunes, types of tunes and the ornamentation, which is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c914f40bf409c00baa681858b6a66cc1
http://eprints.dkit.ie/657/
http://eprints.dkit.ie/657/
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63570f34f838922944477da3bc20885e
https://doi.org/10.21437/interspeech.2018-2462
https://doi.org/10.21437/interspeech.2018-2462
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f917f301e838c56e5c321d4dd7a7af66
https://doi.org/10.21437/interspeech.2018-1376
https://doi.org/10.21437/interspeech.2018-1376