IEICE TRANSACTIONS on Fundamentals
Impact and High-Pitch Noise Suppression Based on Spectral Entropy
Summary :
We propose an impact and high-pitch noise-suppression method based on spectral entropy. Spectral entropy takes a large value for flat spectral amplitude and a small value for spectra with several lines. We model the impact noise as a flat spectral signal and its damped oscillation as a high-pitch periodic signal consisting of spectra with several lines. We discriminate between the current noise situations by using spectral entropy and adaptively change the noise-suppression parameters used in a zero phase-based impact-noise-suppression method. Simulation results show that the proposed method can improve the perceptual evaluation of the speech quality and speech-recognition rate compared to conventional methods.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.4 pp.777-787
- Publication Date
- 2016/04/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E99.A.777
- Type of Manuscript
- PAPER
- Category
- Engineering Acoustics
Authors
Arata KAWAMURA
Osaka University
Noboru HAYASAKA
Osaka Electro-Communication University
Naoto SASAOKA
Tottori University
Keyword
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Arata KAWAMURA, Noboru HAYASAKA, Naoto SASAOKA, "Impact and High-Pitch Noise Suppression Based on Spectral Entropy" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 4, pp. 777-787, April 2016, doi: 10.1587/transfun.E99.A.777.
Abstract: We propose an impact and high-pitch noise-suppression method based on spectral entropy. Spectral entropy takes a large value for flat spectral amplitude and a small value for spectra with several lines. We model the impact noise as a flat spectral signal and its damped oscillation as a high-pitch periodic signal consisting of spectra with several lines. We discriminate between the current noise situations by using spectral entropy and adaptively change the noise-suppression parameters used in a zero phase-based impact-noise-suppression method. Simulation results show that the proposed method can improve the perceptual evaluation of the speech quality and speech-recognition rate compared to conventional methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.777/_p
Copy
@ARTICLE{e99-a_4_777,
author={Arata KAWAMURA, Noboru HAYASAKA, Naoto SASAOKA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Impact and High-Pitch Noise Suppression Based on Spectral Entropy},
year={2016},
volume={E99-A},
number={4},
pages={777-787},
abstract={We propose an impact and high-pitch noise-suppression method based on spectral entropy. Spectral entropy takes a large value for flat spectral amplitude and a small value for spectra with several lines. We model the impact noise as a flat spectral signal and its damped oscillation as a high-pitch periodic signal consisting of spectra with several lines. We discriminate between the current noise situations by using spectral entropy and adaptively change the noise-suppression parameters used in a zero phase-based impact-noise-suppression method. Simulation results show that the proposed method can improve the perceptual evaluation of the speech quality and speech-recognition rate compared to conventional methods.},
keywords={},
doi={10.1587/transfun.E99.A.777},
ISSN={1745-1337},
month={April},}
Copy
TY - JOUR
TI - Impact and High-Pitch Noise Suppression Based on Spectral Entropy
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 777
EP - 787
AU - Arata KAWAMURA
AU - Noboru HAYASAKA
AU - Naoto SASAOKA
PY - 2016
DO - 10.1587/transfun.E99.A.777
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2016
AB - We propose an impact and high-pitch noise-suppression method based on spectral entropy. Spectral entropy takes a large value for flat spectral amplitude and a small value for spectra with several lines. We model the impact noise as a flat spectral signal and its damped oscillation as a high-pitch periodic signal consisting of spectra with several lines. We discriminate between the current noise situations by using spectral entropy and adaptively change the noise-suppression parameters used in a zero phase-based impact-noise-suppression method. Simulation results show that the proposed method can improve the perceptual evaluation of the speech quality and speech-recognition rate compared to conventional methods.
ER -
English
