Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ante Jukic"'
Autor:
Ramin Pichevar, Alex Acero, Jason Wung, Joshua Atkins, Devang Naik, Ante Jukic, Sarmad Malik, Mehrez Souden
Publikováno v:
IEEE Transactions on Signal Processing. 68:3559-3574
Speech dereverberation has been an important component of effective far-field voice interfaces in many applications. Algorithms based on multichannel linear prediction (MCLP) have been shown to be especially effective for blind speech dereverberation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1948edc17d6f3a688bb033a61902ccc6
https://doi.org/10.1109/tsp.2020.2997201
https://doi.org/10.1109/tsp.2020.2997201
Publikováno v:
Journal of the Audio Engineering Society. 65:17-30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6684182df9a49ed0e4a5fffaca7f4232
https://doi.org/10.17743/jaes.2016.0064
https://doi.org/10.17743/jaes.2016.0064
Publikováno v:
IEEE Signal Processing Letters. 24:101-105
In this letter, we present an adaptive speech dereverberation method based on constrained sparse multichannel linear prediction (MCLP), minimizing the mixed $\ell _{2,p}$ norm of the desired component. In order to prevent overestimation of the undesi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91ad6685b8776a88c791aee4fd4d7563
https://doi.org/10.1109/lsp.2016.2640939
https://doi.org/10.1109/lsp.2016.2640939
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 23:1509-1520
The quality of speech signals recorded in an enclosure can be severely degraded by room reverberation. In this paper, we focus on a class of blind batch methods for speech dereverberation in a noiseless scenario with a single source, which are based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::339bde361c3b3fa704b7c8ce65f280b5
https://doi.org/10.1109/taslp.2015.2438549
https://doi.org/10.1109/taslp.2015.2438549
Publikováno v:
HSCMA
This paper investigates four single-channel speech dereverberation algorithms, i.e., two unsupervised approaches based on (i) spectral enhancement and (ii) linear prediction, as well as two supervised approaches relying on machine learning which inco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fe810e8a0cb2015e498f95cc09e1641
https://doi.org/10.1109/hscma.2017.7895575
https://doi.org/10.1109/hscma.2017.7895575
Autor:
Ante Jukic, Marko Filipović
Publikováno v:
Pattern Recognition Letters
Several supervised feature extraction methods for tensor objects have been proposed recently, with applications in recognition of objects, faces and handwritten digits. However, the existing methods usually use only second order statistics of the dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3217c186855094e2af28dbf51af78a4
https://doi.org/10.1016/j.patrec.2013.05.018
https://doi.org/10.1016/j.patrec.2013.05.018
Publikováno v:
IWAENC
This paper presents a speech dereverberation algorithm combining adaptive multi-channel linear prediction (MCLP) with a statistical model for the undesired reverberation. More specifically, we propose to constrain the power of the MCLP-based late rev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f5af242226a84d373b8e3dbbc743fe
https://doi.org/10.1109/iwaenc.2016.7602922
https://doi.org/10.1109/iwaenc.2016.7602922
Publikováno v:
ICASSP
This paper presents a novel signal-dependent method to increase the robustness of acoustic multi-channel equalization techniques against room impulse response (RIR) estimation errors. Aiming at obtaining an output signal which better resembles a clea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a451b700ac5eecc3caafd7076ab8772
https://doi.org/10.1109/icassp.2016.7471658
https://doi.org/10.1109/icassp.2016.7471658
Publikováno v:
WASPAA
Reverberation can severely affect the speech signals recorded in a room, possibly leading to a significantly reduced speech quality and intelligibility. In this paper we present a batch algorithm employing a signal model based on multi-channel linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eb1e0796c2055a57e10a624f86d6408
https://doi.org/10.1109/waspaa.2015.7336927
https://doi.org/10.1109/waspaa.2015.7336927
Autor:
Robert Rehr, Ina Kodrasi, Stefan Goetze, Stephan Gerlach, Ante Jukic, Simon Doclo, Timo Gerkmann, Benjamin Cauchi
Publikováno v:
EURASIP Journal on Advances in Signal Processing. 2015
This paper presents a system aiming at joint dereverberation and noise reduction by applying a combination of a beamformer with a single-channel spectral enhancement scheme. First, a minimum variance distortionless response beamformer with an online
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43c36a5ae586ae420ad7b5fccdd705f7
https://doi.org/10.1186/s13634-015-0242-x
https://doi.org/10.1186/s13634-015-0242-x