Filtering of White Noise Using the Interacting Multiple Model for Speech Enhancement
Summary :
We have developed an efficient recursive algorithm based on the interacting multiple model (IMM) for enhancing speech degraded by additive white noise. The clean speech is modeled by the hidden filter model (HFM). The simulation results shows that the proposed method offers performance gains relative to the previous one with slightly increased complexity.
- Publication
- IEICE TRANSACTIONS on Information Vol.E80-D No.12 pp.1227-1229
- Publication Date
- 1997/12/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Category
- Speech Processing and Acoustics
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Jae Bum KIM, K.Y. LEE, C.W. LEE, "Filtering of White Noise Using the Interacting Multiple Model for Speech Enhancement" in IEICE TRANSACTIONS on Information,
vol. E80-D, no. 12, pp. 1227-1229, December 1997, doi: .
Abstract: We have developed an efficient recursive algorithm based on the interacting multiple model (IMM) for enhancing speech degraded by additive white noise. The clean speech is modeled by the hidden filter model (HFM). The simulation results shows that the proposed method offers performance gains relative to the previous one with slightly increased complexity.
URL: https://global.ieice.org/en_transactions/information/10.1587/e80-d_12_1227/_p
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@ARTICLE{e80-d_12_1227,
author={Jae Bum KIM, K.Y. LEE, C.W. LEE, },
journal={IEICE TRANSACTIONS on Information},
title={Filtering of White Noise Using the Interacting Multiple Model for Speech Enhancement},
year={1997},
volume={E80-D},
number={12},
pages={1227-1229},
abstract={We have developed an efficient recursive algorithm based on the interacting multiple model (IMM) for enhancing speech degraded by additive white noise. The clean speech is modeled by the hidden filter model (HFM). The simulation results shows that the proposed method offers performance gains relative to the previous one with slightly increased complexity.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Filtering of White Noise Using the Interacting Multiple Model for Speech Enhancement
T2 - IEICE TRANSACTIONS on Information
SP - 1227
EP - 1229
AU - Jae Bum KIM
AU - K.Y. LEE
AU - C.W. LEE
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E80-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 1997
AB - We have developed an efficient recursive algorithm based on the interacting multiple model (IMM) for enhancing speech degraded by additive white noise. The clean speech is modeled by the hidden filter model (HFM). The simulation results shows that the proposed method offers performance gains relative to the previous one with slightly increased complexity.
ER -
English
