Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Munevver Kokuer"'
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
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:
Sensors and their Applications XI ISBN: 9781351076593
Sensors and their Applications XI
Sensors and their Applications XI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c090fedd9528218b2cb40b97a1f56601
https://doi.org/10.1201/9781351076593-62
https://doi.org/10.1201/9781351076593-62
Publikováno v:
Sensors and their Applications XI ISBN: 9781351076593
Sensors and their Applications XI
Sensors and their Applications XI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8cb99148ae6bb4de10202077b6c6a13
https://doi.org/10.1201/9781351076593-32
https://doi.org/10.1201/9781351076593-32
Autor:
Peter Jancovic, Munevver Kokuer
Publikováno v:
EUSIPCO
This paper presents an automatic system for detection of bird species in field recordings. A sinusoidal detection algorithm is employed to segment the acoustic scene into isolated spectro-temporal segments. Each segment is represented as a temporal s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9a63aa01bb14507a7719113aab97031
Autor:
Ganna Raboshchuk, Alex Peiró Lilja, Climent Nadeu, Ana Riverola de Veciana, Munevver Kokuer, Blanca Muñoz Mahamud, Peter Jancovic
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
IEEE Journal of Translational Engineering in Health and Medicine
Recercat. Dipósit de la Recerca de Catalunya
instname
IEEE Journal of Translational Engineering in Health and Medicine, Vol 6, Pp 1-10 (2018)
Universitat Politècnica de Catalunya (UPC)
IEEE Journal of Translational Engineering in Health and Medicine
Recercat. Dipósit de la Recerca de Catalunya
instname
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::7561ca19e564ac93c80ba280d331e2c6
http://hdl.handle.net/2117/112805
http://hdl.handle.net/2117/112805
Autor:
Munevver Kokuer, Peter Jancovic
Publikováno v:
INTERSPEECH
Publikováno v:
ICASSP
This paper presents an HMM-based automatic system for recognition of bird species from audio field recordings. It includes an improved unsupervised modelling of individual bird syllables and duration modelling. The acoustic signal is decomposed into
Publikováno v:
Speech Communication. 54:108-118
This paper presents a single-channel speech enhancement system based on the Sparse Code Shrinkage (SCS) algorithm and employment of multiple speech models. The enhancement system consists of two stages: training and enhancement. In the training stage