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Isao NAKANISHI, Yuudai NAGATA, Takenori ASAKURA, Yoshio ITOH, Yutaka FUKUI, "Speech Noise Reduction System Based on Frequency Domain ALE Using Windowed Modified DFT Pair" in IEICE TRANSACTIONS on Fundamentals, vol. E89-A, no. 4, pp. 950-959, April 2006, doi:10.1093/ietfec/e89-a.4.950.
Abstract:The speech noise reduction system based on the frequency domain adaptive line enhancer using a windowed modified DFT (MDFT) pair is presented. The adaptive line enhancer (ALE) is effective for extracting sinusoidal signals blurred by a broadband noise. In addition, it utilizes only one microphone. Therefore, it is suitable for the realization of speech noise reduction in portable electronic devices. In the ALE, an input signal is generated by delaying a desired signal using the decorrelation parameter, which makes the noise in the input signal decorrelated with that in the desired one. In the present paper, we propose to set decorrelation parameters in the frequency domain and adjust them to optimal values according to the relationship between speech and noise. Such frequency domain decorrelation parameters enable the reduction of the computational complexity of the proposed system. Also, we introduce the window function into MDFT for suppressing spectral leakage. The performance of the proposed noise reduction system is examined through computer simulations.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.4.950/_p

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@ARTICLE{e89-a_4_950,
author={Isao NAKANISHI, Yuudai NAGATA, Takenori ASAKURA, Yoshio ITOH, Yutaka FUKUI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Speech Noise Reduction System Based on Frequency Domain ALE Using Windowed Modified DFT Pair},
year={2006},
volume={E89-A},
number={4},
pages={950-959},
abstract={The speech noise reduction system based on the frequency domain adaptive line enhancer using a windowed modified DFT (MDFT) pair is presented. The adaptive line enhancer (ALE) is effective for extracting sinusoidal signals blurred by a broadband noise. In addition, it utilizes only one microphone. Therefore, it is suitable for the realization of speech noise reduction in portable electronic devices. In the ALE, an input signal is generated by delaying a desired signal using the decorrelation parameter, which makes the noise in the input signal decorrelated with that in the desired one. In the present paper, we propose to set decorrelation parameters in the frequency domain and adjust them to optimal values according to the relationship between speech and noise. Such frequency domain decorrelation parameters enable the reduction of the computational complexity of the proposed system. Also, we introduce the window function into MDFT for suppressing spectral leakage. The performance of the proposed noise reduction system is examined through computer simulations.},
keywords={},
doi={10.1093/ietfec/e89-a.4.950},
ISSN={1745-1337},
month={April},}

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TY - JOUR
TI - Speech Noise Reduction System Based on Frequency Domain ALE Using Windowed Modified DFT Pair
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 950
EP - 959
AU - Isao NAKANISHI
AU - Yuudai NAGATA
AU - Takenori ASAKURA
AU - Yoshio ITOH
AU - Yutaka FUKUI
PY - 2006
DO -10.1093/ietfec/e89-a.4.950
JO - IEICE TRANSACTIONS on Fundamentals
SN -1745-1337
VL - E89-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2006
AB -The speech noise reduction system based on the frequency domain adaptive line enhancer using a windowed modified DFT (MDFT) pair is presented. The adaptive line enhancer (ALE) is effective for extracting sinusoidal signals blurred by a broadband noise. In addition, it utilizes only one microphone. Therefore, it is suitable for the realization of speech noise reduction in portable electronic devices. In the ALE, an input signal is generated by delaying a desired signal using the decorrelation parameter, which makes the noise in the input signal decorrelated with that in the desired one. In the present paper, we propose to set decorrelation parameters in the frequency domain and adjust them to optimal values according to the relationship between speech and noise. Such frequency domain decorrelation parameters enable the reduction of the computational complexity of the proposed system. Also, we introduce the window function into MDFT for suppressing spectral leakage. The performance of the proposed noise reduction system is examined through computer simulations.
ER -