Noise Estimation Using High Frequency Regions for Spectral Subtraction
Summary :
This paper presents an improved spectral subtraction method for speech enhancement. A new noise estimation method is derived in which the noise is assumed to be white. By using the property that a white noise spectrum is flat, high frequency components of a noisy speech spectrum are averaged and the standard deviation of the noise is estimated. This operation is performed in the analysis segment, thus the spectral subtraction method combined with the new noise estimation method does not need non-speech segments and as a result can adapt to non-stationary noise conditions. The effectiveness of the proposed spectral subtraction method is confirmed by experiments.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.3 pp.723-727
- Publication Date
- 2002/03/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
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Junpei YAMAUCHI, Tetsuya SHIMAMURA, "Noise Estimation Using High Frequency Regions for Spectral Subtraction" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 3, pp. 723-727, March 2002, doi: .
Abstract: This paper presents an improved spectral subtraction method for speech enhancement. A new noise estimation method is derived in which the noise is assumed to be white. By using the property that a white noise spectrum is flat, high frequency components of a noisy speech spectrum are averaged and the standard deviation of the noise is estimated. This operation is performed in the analysis segment, thus the spectral subtraction method combined with the new noise estimation method does not need non-speech segments and as a result can adapt to non-stationary noise conditions. The effectiveness of the proposed spectral subtraction method is confirmed by experiments.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_3_723/_p
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@ARTICLE{e85-a_3_723,
author={Junpei YAMAUCHI, Tetsuya SHIMAMURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Noise Estimation Using High Frequency Regions for Spectral Subtraction},
year={2002},
volume={E85-A},
number={3},
pages={723-727},
abstract={This paper presents an improved spectral subtraction method for speech enhancement. A new noise estimation method is derived in which the noise is assumed to be white. By using the property that a white noise spectrum is flat, high frequency components of a noisy speech spectrum are averaged and the standard deviation of the noise is estimated. This operation is performed in the analysis segment, thus the spectral subtraction method combined with the new noise estimation method does not need non-speech segments and as a result can adapt to non-stationary noise conditions. The effectiveness of the proposed spectral subtraction method is confirmed by experiments.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Noise Estimation Using High Frequency Regions for Spectral Subtraction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 723
EP - 727
AU - Junpei YAMAUCHI
AU - Tetsuya SHIMAMURA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2002
AB - This paper presents an improved spectral subtraction method for speech enhancement. A new noise estimation method is derived in which the noise is assumed to be white. By using the property that a white noise spectrum is flat, high frequency components of a noisy speech spectrum are averaged and the standard deviation of the noise is estimated. This operation is performed in the analysis segment, thus the spectral subtraction method combined with the new noise estimation method does not need non-speech segments and as a result can adapt to non-stationary noise conditions. The effectiveness of the proposed spectral subtraction method is confirmed by experiments.
ER -
English
