Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mariem Bouafif"'
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
The use of speech source localization (SSL) and its applications offer great possibilities for the design of speaker local positioning systems with wireless acoustic sensor networks (WASNs). Recent works have shown that data-driven front-ends can out
Externí odkaz:
https://doaj.org/article/e3578b56d4fb44b49bb9cff9f30d0927
Autor:
Mariem Bouafif, Zied Lachiri
Publikováno v:
SoftwareX, Vol 5, Iss , Pp 234-242 (2016)
We consider the problem of sources counting and Time Delays of Arrival (TDOAs) estimation from a two-channel reverberant mixture in the underdetermined case. Most existing estimating TDOA implementations are based on a prior knowledge about the numbe
Externí odkaz:
https://doaj.org/article/ca5713add56d4ffea7890aa239295f2c
Autor:
Bäckström, Tom, Räsänen, Okko, Zewoudie, Abraham, Zarazaga, Pablo Pérez, Koivusalo, Liisa, Das, Sneha, Mellado, Esteban Gómez, Mariem Bouafif Mansali, Ramos, Daniel
This release is primarily about migrating all content to jupyter-books and git. The published version is now hosted at https://speechprocessingbook.aalto.fi. In addition to github, the release has long-term storage location at Zenodo, which also assi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14261a036eed48be09904e5d2de9df61
Publikováno v:
Interspeech 2021.
In scenarios such as remote work, open offices and call centers, multiple people may simultaneously have independent spoken interactions with their devices in the same room. The speech of competing speakers will however be picked up by all microphone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0f7d6c162d6b27af8c7134db2c4faf7
https://doi.org/10.21437/interspeech.2021-1329
https://doi.org/10.21437/interspeech.2021-1329
Autor:
Tom Backstrom, Mariem Bouafif Mansali, Pablo Perez Zarazaga, Meghna Ranjit, Sneha Das, Zied Lachiri
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Existing hardware with microphones can potentially be used as sensor networks to capture speech and audio signals for the benefit of better signal quality than possible with a single microphone. A central pre-requisite for such ad-hoc acoustic wirele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70ac5ddd41f41e8c1ea825a5850a81dc
https://doi.org/10.23919/eusipco54536.2021.9616344
https://doi.org/10.23919/eusipco54536.2021.9616344
Publikováno v:
EUSIPCO
Aalto University
Aalto University
Multiple pitch streaming from a mixture is a challenging problem for signal processing and especially for speech separation. In this paper, we use a Zero frequency filtering (ZFF) based new system to stream pitch of multiple concurrent speakers. We p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84850b5914567ab5e6f9e2c8994191c4
https://aaltodoc.aalto.fi/handle/123456789/47491
https://aaltodoc.aalto.fi/handle/123456789/47491
Autor:
Mariem Bouafif, Zied Lachiri
Publikováno v:
International Journal of Speech Technology. 19:697-706
This paper presents a new time---frequency approach for recovering source contribution to two convolutive mixtures. The separation task is performed on two steps: Each mixture is clustered into voiced/unvoiced frames, and then the predominant source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d28d78051dd3f7021cb797b03e1cd790
https://doi.org/10.1007/s10772-016-9361-5
https://doi.org/10.1007/s10772-016-9361-5
Autor:
Zied Lachiri, Mariem Bouafif
Publikováno v:
SoftwareX, Vol 5, Iss, Pp 234-242 (2016)
We consider the problem of sources counting and Time Delays of Arrival (TDOAs) estimation from a two-channel reverberant mixture in the underdetermined case. Most existing estimating TDOA implementations are based on a prior knowledge about the numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9971c2ceb8a409625bff9a59c81b7e5b
https://doi.org/10.1016/j.softx.2016.10.003
https://doi.org/10.1016/j.softx.2016.10.003
Autor:
Zied Lachiri, Mariem Bouafif
Publikováno v:
ICASSP
In this paper, we present a new Time-Frequency approach for recovering sources' contribution to two convolutive mixtures. The separation task is performed on two steps: Each mixture is clustered into Voiced/Unvoiced frames, and then the predominant s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0285795c50687cea8726087b77708533
https://doi.org/10.1109/icassp.2016.7472273
https://doi.org/10.1109/icassp.2016.7472273
Autor:
Zied Lachiri, Mariem Bouafif
Publikováno v:
TSP
Among different Blind Sources Separation (BSS) approaches, little attention has been paid to techniques based on features extraction, as they are assumed to be arbitrary and not reproducible. In this paper we demonstrate that the separation task base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7016716e03b94e004d603ded82aa58fb
https://doi.org/10.1109/tsp.2015.7296446
https://doi.org/10.1109/tsp.2015.7296446