Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Lae-Hoon Kim"'
Autor:
Erik Visser, Moon Sunkuk, Yinyi Guo, Manyu Deshpande, Lae-Hoon Kim, Fatemeh Saki, Cheng-Yu Hung, Eunjeong Koh
Publikováno v:
Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2133f0ea415e7cdf689ef8fe41503577
https://doi.org/10.33682/en2t-9m14
https://doi.org/10.33682/en2t-9m14
Publikováno v:
The Journal of the Acoustical Society of America. 123:2043-2053
In this paper, an acoustic model for the robustness analysis of optimal multipoint room equalization is proposed. The optimal multipoint equalization aims to have the optimal performance in a least-squares sense for all measured points. The model can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e714894e494b06d69e3383d6f7edbbf
https://doi.org/10.1121/1.2837285
https://doi.org/10.1121/1.2837285
Publikováno v:
IEEE Transactions on Consumer Electronics. 49:243-252
In automobile space, we experience sound coloring of reproduced sound quite differently from large spaces such as concert halls. This is assumed to be due to the well-separated acoustic modes in the low frequency range up to the relatively high cross
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d77aa47a6bc20ecfd9c983d6e780072
https://doi.org/10.1109/tce.2003.1205483
https://doi.org/10.1109/tce.2003.1205483
Autor:
Mark Hasegawa-Johnson, Lae-Hoon Kim
Publikováno v:
Digital Signal Processing for In-Vehicle Systems and Safety ISBN: 9781441996060
Hands-free speech telephony and speech recognition in cars suffer from additive noise and reverberation. We propose an iterative blind room impulse response (RIR) estimation algorithm based on an analysis-by-synthesis loop closed around a multi-path
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a4ede0fa4c37e7cc7543c8716e5b0e8
https://doi.org/10.1007/978-1-4419-9607-7_13
https://doi.org/10.1007/978-1-4419-9607-7_13
Autor:
Mark Hasegawa-Johnson, Lae-Hoon Kim
Publikováno v:
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.
Blind source separation can be implemented in the frequency domain using one-tap multiplication operation in each frequency bin, but only when the frame length is long enough to disregard temporal aliasing effects. If we take a short-time frequency t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89d54b6493fc5dc24e8e908206d36e97
https://doi.org/10.1109/acssc.2010.5757618
https://doi.org/10.1109/acssc.2010.5757618
Publikováno v:
Interspeech 2010.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a38571a24f5234e79c6723ac51ae1ffe
https://doi.org/10.21437/interspeech.2010-583
https://doi.org/10.21437/interspeech.2010-583
Publikováno v:
ICASSP
In this paper, we propose a multi-microphone joint optimal estimation of the direction of arrival (DOA) and the source speech signal through newly introduced EM beamforming. This produces a posterior PDF for the DOA, based only on the reliable speech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4b9cbc23e15654d980a5f08d566abe6
https://doi.org/10.1109/icassp.2010.5496144
https://doi.org/10.1109/icassp.2010.5496144
Publikováno v:
ICASSP
In this paper, independent component analysis (ICA) in a subband domain has been extended into a feed-forward network. The feed-forward network maximizes mutual independence of separated current frames using information from the both current and prev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f126a82dc6f8b95494e5cf6f01fdefa4
https://doi.org/10.1109/icassp.2010.5496252
https://doi.org/10.1109/icassp.2010.5496252
Autor:
Mark Hasegawa-Johnson, Lae-Hoon Kim
Publikováno v:
ICASSP
This paper proposes minimum mean squared error (MMSE) speech signal estimation in a reverberant space using different optimal estimators in the low and high frequency ranges. At low frequencies, an MMSE spectral amplitude estimator divided by the spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ffc277bc7e1e54a4a472c4ba7d52625
https://doi.org/10.1109/icassp.2008.4518674
https://doi.org/10.1109/icassp.2008.4518674
Publikováno v:
ICASSP (3)
A theoretical basis for optimal multichannel speech enhancementis presented, sufficient, flexible to be used with any assumed statistical model and optimality criterion. Any Bayesian optimal one-channel estimator for speech enhancement can be general
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f7a839652b77a08c20b95eecf9e61b
https://doi.org/10.1109/icassp.2006.1660591
https://doi.org/10.1109/icassp.2006.1660591