Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ofer Schwartz"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-15 (2024)
Abstract This paper addresses the challenge of online blind speaker separation in a multi-microphone setting. The linearly constrained minimum variance (LCMV) beamformer is selected as the backbone of the separation algorithm due to its distortionles
Externí odkaz:
https://doaj.org/article/28ecf5174c4446aeba3e9f34d74bd140
Autor:
Ofer Schwartz, Sharon Gannot
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-15 (2021)
Abstract The problem of blind and online speaker localization and separation using multiple microphones is addressed based on the recursive expectation-maximization (REM) procedure. A two-stage REM-based algorithm is proposed: (1) multi-speaker direc
Externí odkaz:
https://doaj.org/article/4f4a7b3866354213a203652554fc6ef2
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2020, Iss 1, Pp 1-19 (2020)
Abstract Ad hoc acoustic networks comprising multiple nodes, each of which consists of several microphones, are addressed. From the ad hoc nature of the node constellation, microphone positions are unknown. Hence, typical tasks, such as localization,
Externí odkaz:
https://doaj.org/article/4e6f96b0013a4305966293d3f93aa7ef
Autor:
Ofer Schwartz, Ayal Schwartz
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df02115f5dbe35d23c73c280458afe7e
https://doi.org/10.1109/icassp49357.2023.10094759
https://doi.org/10.1109/icassp49357.2023.10094759
Autor:
Ofer Schwartz
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ed3326f370b553332fd4185720fb397
https://doi.org/10.23919/eusipco55093.2022.9909684
https://doi.org/10.23919/eusipco55093.2022.9909684
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51026d20d21ac03e2a093dfbeb92c781
https://doi.org/10.1109/icassp43922.2022.9747656
https://doi.org/10.1109/icassp43922.2022.9747656
Autor:
Ofer Schwartz
Publikováno v:
2021 29th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7c9239c2bba794ea40a46a7aa9b5018
https://doi.org/10.23919/eusipco54536.2021.9616084
https://doi.org/10.23919/eusipco54536.2021.9616084
Publikováno v:
ICASSP
Speech signals captured by a microphone mounted to a smart soundbar or speaker are inherently contaminated by echos. Modern smart devices are usually characterized by low computational capabilities and low memory resources; in these cases, a low-comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04b759bfd20e1e565e086207e355f44d
https://doi.org/10.1109/icassp40776.2020.9054110
https://doi.org/10.1109/icassp40776.2020.9054110
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25:1680-1693
The reverberation power spectral density (PSD) is often required for dereverberation and noise reduction algorithms. In this work, we compare two maximum likelihood (ML) estimators of the reverberation PSD in a noisy environment. In the first estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b966a7ff5116e79d64a67de673f62c78
https://doi.org/10.1109/taslp.2017.2696308
https://doi.org/10.1109/taslp.2017.2696308
Publikováno v:
ICASSP
In this paper, we present a multiple-speaker direction of arrival (DOA) tracking algorithm with a microphone array that utilizes the recursive EM (REM) algorithm proposed by Cappe and Moulines. In our model, all sources can be located in one of a pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72d09b05381d470ae9423a509b6a347e
https://doi.org/10.1109/icassp.2019.8682659
https://doi.org/10.1109/icassp.2019.8682659