Stationary and Non-stationary Wide-Band Noise Reduction Using Zero Phase Signal

Weerawut THANHIKAM; Yuki KAMAMORI; Arata KAWAMURA; Youji IIGUNI

doi:10.1587/transfun.E95.A.843

Stationary and Non-stationary Wide-Band Noise Reduction Using Zero Phase Signal

Weerawut THANHIKAM, Yuki KAMAMORI, Arata KAWAMURA, Youji IIGUNI

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This paper proposes a wide-band noise reduction method using a zero phase (ZP) signal which is defined as the IDFT of a spectral amplitude. When a speech signal has periodicity in a short observation, the corresponding ZP signal becomes also periodic. On the other hand, when a noise spectral amplitude is approximately flat, its ZP signal takes nonzero values only around the origin. Hence, when a periodic speech signal is embedded in a flat spectral noise in an analysis frame, its ZP signal becomes a periodic signal except around the origin. In the proposed noise reduction method, we replace the ZP signal around the origin with the ZP signal in the second or latter period. Then, we get an estimated speech ZP signal. The major advantages of this method are that it can reduce not only stationary wide-band noises but also non-stationary wide-band noises and does not require a prior estimation of the noise spectral amplitude. Simulation results show that the proposed noise reduction method improves the SNR more than 5 dB for a tunnel noise and 13 dB for a clap noise in a low SNR environment.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.5 pp.843-852

Publication Date: 2012/05/01

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Online ISSN: 1745-1337

DOI: 10.1587/transfun.E95.A.843

Type of Manuscript: PAPER

Category: Engineering Acoustics

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Weerawut THANHIKAM, Yuki KAMAMORI, Arata KAWAMURA, Youji IIGUNI, "Stationary and Non-stationary Wide-Band Noise Reduction Using Zero Phase Signal" in IEICE TRANSACTIONS on Fundamentals, vol. E95-A, no. 5, pp. 843-852, May 2012, doi: 10.1587/transfun.E95.A.843.
Abstract: This paper proposes a wide-band noise reduction method using a zero phase (ZP) signal which is defined as the IDFT of a spectral amplitude. When a speech signal has periodicity in a short observation, the corresponding ZP signal becomes also periodic. On the other hand, when a noise spectral amplitude is approximately flat, its ZP signal takes nonzero values only around the origin. Hence, when a periodic speech signal is embedded in a flat spectral noise in an analysis frame, its ZP signal becomes a periodic signal except around the origin. In the proposed noise reduction method, we replace the ZP signal around the origin with the ZP signal in the second or latter period. Then, we get an estimated speech ZP signal. The major advantages of this method are that it can reduce not only stationary wide-band noises but also non-stationary wide-band noises and does not require a prior estimation of the noise spectral amplitude. Simulation results show that the proposed noise reduction method improves the SNR more than 5 dB for a tunnel noise and 13 dB for a clap noise in a low SNR environment.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.843/_p

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@ARTICLE{e95-a_5_843,
author={Weerawut THANHIKAM, Yuki KAMAMORI, Arata KAWAMURA, Youji IIGUNI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Stationary and Non-stationary Wide-Band Noise Reduction Using Zero Phase Signal},
year={2012},
volume={E95-A},
number={5},
pages={843-852},
abstract={This paper proposes a wide-band noise reduction method using a zero phase (ZP) signal which is defined as the IDFT of a spectral amplitude. When a speech signal has periodicity in a short observation, the corresponding ZP signal becomes also periodic. On the other hand, when a noise spectral amplitude is approximately flat, its ZP signal takes nonzero values only around the origin. Hence, when a periodic speech signal is embedded in a flat spectral noise in an analysis frame, its ZP signal becomes a periodic signal except around the origin. In the proposed noise reduction method, we replace the ZP signal around the origin with the ZP signal in the second or latter period. Then, we get an estimated speech ZP signal. The major advantages of this method are that it can reduce not only stationary wide-band noises but also non-stationary wide-band noises and does not require a prior estimation of the noise spectral amplitude. Simulation results show that the proposed noise reduction method improves the SNR more than 5 dB for a tunnel noise and 13 dB for a clap noise in a low SNR environment.},
keywords={},
doi={10.1587/transfun.E95.A.843},
ISSN={1745-1337},
month={May},}

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TY - JOUR
TI - Stationary and Non-stationary Wide-Band Noise Reduction Using Zero Phase Signal
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 843
EP - 852
AU - Weerawut THANHIKAM
AU - Yuki KAMAMORI
AU - Arata KAWAMURA
AU - Youji IIGUNI
PY - 2012
DO - 10.1587/transfun.E95.A.843
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2012
AB - This paper proposes a wide-band noise reduction method using a zero phase (ZP) signal which is defined as the IDFT of a spectral amplitude. When a speech signal has periodicity in a short observation, the corresponding ZP signal becomes also periodic. On the other hand, when a noise spectral amplitude is approximately flat, its ZP signal takes nonzero values only around the origin. Hence, when a periodic speech signal is embedded in a flat spectral noise in an analysis frame, its ZP signal becomes a periodic signal except around the origin. In the proposed noise reduction method, we replace the ZP signal around the origin with the ZP signal in the second or latter period. Then, we get an estimated speech ZP signal. The major advantages of this method are that it can reduce not only stationary wide-band noises but also non-stationary wide-band noises and does not require a prior estimation of the noise spectral amplitude. Simulation results show that the proposed noise reduction method improves the SNR more than 5 dB for a tunnel noise and 13 dB for a clap noise in a low SNR environment.
ER -