Speech Enhancement Based on Short-Time Spectral Amplitude Estimation with Two-Channel Beamformer

Hack-Yoon KIM; Futoshi ASANO; Yoiti SUZUKI; Toshio SONE

Speech Enhancement Based on Short-Time Spectral Amplitude Estimation with Two-Channel Beamformer

Hack-Yoon KIM, Futoshi ASANO, Yoiti SUZUKI, Toshio SONE

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In this paper, a new spectral subtraction technique with two microphone inputs is proposed. In conventional spectral subtraction using a single microphone, the averaged noise spectrum is subtracted from the observed short-time input spectrum. This results in reduction of mean value of noise spectrum only, the component varying around the mean value remaining intact. In the method proposed in this paper, the short-time noise spectrum excluding the speech component is estimated by introducing the blocking matrix used in the Griffiths-Jim-type adaptive beamformer with two microphone inputs, combined with the spectral compensation technique. By subtracting the estimated short-time noise spectrum from the input spectrum, not only the mean value of the noise spectrum but also the component varying around the mean value can be reduced. This method can be interpreted as a partial construction of the adaptive beamformer where only the amplitude of the short-time noise spectrum is estimated, while the adaptive beamformer is equivalent to the estimator of the complex short-time noise spectrum. By limiting the estimation to the amplitude spectrum, the proposed system achieves better performance than the adaptive beamformer in the case when the number of sound sources exceeds the number of microphones.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E79-A No.12 pp.2151-2158

Publication Date: 1996/12/25

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Type of Manuscript: PAPER

Category: Acoustics

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Hack-Yoon KIM, Futoshi ASANO, Yoiti SUZUKI, Toshio SONE, "Speech Enhancement Based on Short-Time Spectral Amplitude Estimation with Two-Channel Beamformer" in IEICE TRANSACTIONS on Fundamentals, vol. E79-A, no. 12, pp. 2151-2158, December 1996, doi: .
Abstract: In this paper, a new spectral subtraction technique with two microphone inputs is proposed. In conventional spectral subtraction using a single microphone, the averaged noise spectrum is subtracted from the observed short-time input spectrum. This results in reduction of mean value of noise spectrum only, the component varying around the mean value remaining intact. In the method proposed in this paper, the short-time noise spectrum excluding the speech component is estimated by introducing the blocking matrix used in the Griffiths-Jim-type adaptive beamformer with two microphone inputs, combined with the spectral compensation technique. By subtracting the estimated short-time noise spectrum from the input spectrum, not only the mean value of the noise spectrum but also the component varying around the mean value can be reduced. This method can be interpreted as a partial construction of the adaptive beamformer where only the amplitude of the short-time noise spectrum is estimated, while the adaptive beamformer is equivalent to the estimator of the complex short-time noise spectrum. By limiting the estimation to the amplitude spectrum, the proposed system achieves better performance than the adaptive beamformer in the case when the number of sound sources exceeds the number of microphones.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e79-a_12_2151/_p

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@ARTICLE{e79-a_12_2151,
author={Hack-Yoon KIM, Futoshi ASANO, Yoiti SUZUKI, Toshio SONE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Speech Enhancement Based on Short-Time Spectral Amplitude Estimation with Two-Channel Beamformer},
year={1996},
volume={E79-A},
number={12},
pages={2151-2158},
abstract={In this paper, a new spectral subtraction technique with two microphone inputs is proposed. In conventional spectral subtraction using a single microphone, the averaged noise spectrum is subtracted from the observed short-time input spectrum. This results in reduction of mean value of noise spectrum only, the component varying around the mean value remaining intact. In the method proposed in this paper, the short-time noise spectrum excluding the speech component is estimated by introducing the blocking matrix used in the Griffiths-Jim-type adaptive beamformer with two microphone inputs, combined with the spectral compensation technique. By subtracting the estimated short-time noise spectrum from the input spectrum, not only the mean value of the noise spectrum but also the component varying around the mean value can be reduced. This method can be interpreted as a partial construction of the adaptive beamformer where only the amplitude of the short-time noise spectrum is estimated, while the adaptive beamformer is equivalent to the estimator of the complex short-time noise spectrum. By limiting the estimation to the amplitude spectrum, the proposed system achieves better performance than the adaptive beamformer in the case when the number of sound sources exceeds the number of microphones.},
keywords={},
doi={},
ISSN={},
month={December},}

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TY - JOUR
TI - Speech Enhancement Based on Short-Time Spectral Amplitude Estimation with Two-Channel Beamformer
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2151
EP - 2158
AU - Hack-Yoon KIM
AU - Futoshi ASANO
AU - Yoiti SUZUKI
AU - Toshio SONE
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E79-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 1996
AB - In this paper, a new spectral subtraction technique with two microphone inputs is proposed. In conventional spectral subtraction using a single microphone, the averaged noise spectrum is subtracted from the observed short-time input spectrum. This results in reduction of mean value of noise spectrum only, the component varying around the mean value remaining intact. In the method proposed in this paper, the short-time noise spectrum excluding the speech component is estimated by introducing the blocking matrix used in the Griffiths-Jim-type adaptive beamformer with two microphone inputs, combined with the spectral compensation technique. By subtracting the estimated short-time noise spectrum from the input spectrum, not only the mean value of the noise spectrum but also the component varying around the mean value can be reduced. This method can be interpreted as a partial construction of the adaptive beamformer where only the amplitude of the short-time noise spectrum is estimated, while the adaptive beamformer is equivalent to the estimator of the complex short-time noise spectrum. By limiting the estimation to the amplitude spectrum, the proposed system achieves better performance than the adaptive beamformer in the case when the number of sound sources exceeds the number of microphones.
ER -