Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Saeed Vaseghi"'
Publikováno v:
Applied Sciences, Vol 7, Iss 6, p 581 (2017)
This paper presents methodology for the processing of GPS and heart rate signals acquired during long-term physical activities. The data analysed include geo-positioning and heart rate multichannel signals recorded for 272.2 h of cycling across the A
Externí odkaz:
https://doaj.org/article/60be95bbaf8d47a0929464d68cca62b7
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26:1209-1214
Multimodal signal analysis based on sophisticated noninvasive sensors, efficient communication systems, and machine learning, have a rapidly increasing range of different applications. The present paper is devoted to pattern recognition and the analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19857f2ea4868a08ef16a270cddc7be6
https://doi.org/10.1109/tnsre.2018.2831444
https://doi.org/10.1109/tnsre.2018.2831444
Publikováno v:
IEEE Transactions on Image Processing. 25:4394-4405
This paper presents improvements in image gap restoration through the incorporation of edge-based directional interpolation within multi-scale pyramid transforms. Two types of image edges are reconstructed: 1) the local edges or textures, inferred fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bb7538bc15f77ea924bf03bfe3c69fd
https://doi.org/10.1109/tip.2016.2590825
https://doi.org/10.1109/tip.2016.2590825
Publikováno v:
Signal, Image and Video Processing. 11:251-258
This paper addresses the use of multichannel signal processing methods in analysis of heart rate changes during cycling using the global positioning system (GPS) to record the route conditions. The main objectives of this work are in monitoring of ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2732e79cff661733d3f3a1a50d479590
https://doi.org/10.1007/s11760-016-0928-z
https://doi.org/10.1007/s11760-016-0928-z
Publikováno v:
Applied Sciences; Volume 7; Issue 6; Pages: 581
This paper presents methodology for the processing of GPS and heart rate signals acquired during long-term physical activities. The data analysed include geo-positioning and heart rate multichannel signals recorded for 272.2 h of cycling across the A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::28f2b28b991757792bb27e2084771ea9
Publikováno v:
ICASSP (4)
The aim of this work is to examine whether visual speech information can be used to enhance audio speech that has been contaminated by noise. First, an analysis of audio and visual speech features is made, which identifies the pair with highest audio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cbd2c1a4c7a51c26621ae8869c1af0c
https://doi.org/10.1109/tasl.2010.2096212
https://doi.org/10.1109/tasl.2010.2096212
Publikováno v:
Speech Communication. 50:564-579
This paper highlights the differences in spectral features between British, Australian and American English accents and applies the cross-entropy information measure for comparative quantification of the impacts of the variations of accents, speaker
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a98228f527c58d3e34794ff9a16c611
https://doi.org/10.1016/j.specom.2008.03.013
https://doi.org/10.1016/j.specom.2008.03.013
Autor:
Saeed Vaseghi, Esfandiar Zavarehei
Publikováno v:
IEEE Transactions on Multimedia. 10:493-502
This paper presents a method for interpolation of lost speech segments. The interpolation method can be used for packet loss concealment in voice communication over mobile phones, for voice over IP or for restoration of lost segments in speech record
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e1758a1d2eed08bf678f12cac3f16bd
https://doi.org/10.1109/tmm.2008.917345
https://doi.org/10.1109/tmm.2008.917345
Autor:
Saeed Vaseghi, Paul R. White, Ioannis Andrianakis, Ben Milner, Qin Yan, Esfandiar Zavarehei, Jonathan Darch
Publikováno v:
Computer Speech & Language. 22:69-83
This paper presents a speech enhancement method based on the tracking and denoising of the formants of a linear prediction (LP) model of the spectral envelope of speech and the parameters of a harmonic noise model (HNM) of its excitation. The main ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26a5d2b5364449cb479796a30eb3314d
https://doi.org/10.1016/j.csl.2007.06.002
https://doi.org/10.1016/j.csl.2007.06.002
Autor:
Paul R. White, Qin Yan, Esfandiar Zavarehei, Jonathan Darch, Ben Milner, Ioannis Andrianakis, Saeed Vaseghi
Publikováno v:
Computer Speech & Language. 21:543-561
This paper presents a formant tracking linear prediction (LP) model for speech processing in noise. The main focus of this work is on the utilization of the correlation of the energy contours of speech, along the formant tracks, for improved formant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4faaecb8085b5abb7d80dec3dceabc9b
https://doi.org/10.1016/j.csl.2006.11.001
https://doi.org/10.1016/j.csl.2006.11.001