Robust Subspace Analysis and Its Application in Microphone Array for Speech Enhancement

Zhu Liang YU; Meng Hwa ER

doi:10.1093/ietfec/e88-a.7.1708

Robust Subspace Analysis and Its Application in Microphone Array for Speech Enhancement

Zhu Liang YU, Meng Hwa ER

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A robust microphone array for speech enhancement and noise suppression is studied in this paper. To overcome target signal cancellation problem of conventional beamformer caused by array imperfections or reverberation effects of acoustic enclosure, the proposed microphone array adopts an arbitrary model of channel transfer function (TF) relating microphone and speech source. Since the estimation of channel TF itself is often intractable, herein, transfer function ratio (TFR) is estimated instead and used to form a suboptimal beamformer. A robust TFR estimation method is proposed based on signal subspace analysis technique against stationary or slowly varying noise. Experiments using simulated signal and actual signal recorded in a real room illustrate that the proposed method has high performance in adverse environment.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.7 pp.1708-1715

Publication Date: 2005/07/01

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DOI: 10.1093/ietfec/e88-a.7.1708

Type of Manuscript: Special Section PAPER (Special Section on Multi-channel Acoustic Signal Processing)

Category: Microphone Array

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Zhu Liang YU, Meng Hwa ER, "Robust Subspace Analysis and Its Application in Microphone Array for Speech Enhancement" in IEICE TRANSACTIONS on Fundamentals, vol. E88-A, no. 7, pp. 1708-1715, July 2005, doi: 10.1093/ietfec/e88-a.7.1708.
Abstract: A robust microphone array for speech enhancement and noise suppression is studied in this paper. To overcome target signal cancellation problem of conventional beamformer caused by array imperfections or reverberation effects of acoustic enclosure, the proposed microphone array adopts an arbitrary model of channel transfer function (TF) relating microphone and speech source. Since the estimation of channel TF itself is often intractable, herein, transfer function ratio (TFR) is estimated instead and used to form a suboptimal beamformer. A robust TFR estimation method is proposed based on signal subspace analysis technique against stationary or slowly varying noise. Experiments using simulated signal and actual signal recorded in a real room illustrate that the proposed method has high performance in adverse environment.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.7.1708/_p

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@ARTICLE{e88-a_7_1708,
author={Zhu Liang YU, Meng Hwa ER, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Subspace Analysis and Its Application in Microphone Array for Speech Enhancement},
year={2005},
volume={E88-A},
number={7},
pages={1708-1715},
abstract={A robust microphone array for speech enhancement and noise suppression is studied in this paper. To overcome target signal cancellation problem of conventional beamformer caused by array imperfections or reverberation effects of acoustic enclosure, the proposed microphone array adopts an arbitrary model of channel transfer function (TF) relating microphone and speech source. Since the estimation of channel TF itself is often intractable, herein, transfer function ratio (TFR) is estimated instead and used to form a suboptimal beamformer. A robust TFR estimation method is proposed based on signal subspace analysis technique against stationary or slowly varying noise. Experiments using simulated signal and actual signal recorded in a real room illustrate that the proposed method has high performance in adverse environment.},
keywords={},
doi={10.1093/ietfec/e88-a.7.1708},
ISSN={},
month={July},}

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TY - JOUR
TI - Robust Subspace Analysis and Its Application in Microphone Array for Speech Enhancement
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1708
EP - 1715
AU - Zhu Liang YU
AU - Meng Hwa ER
PY - 2005
DO - 10.1093/ietfec/e88-a.7.1708
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2005
AB - A robust microphone array for speech enhancement and noise suppression is studied in this paper. To overcome target signal cancellation problem of conventional beamformer caused by array imperfections or reverberation effects of acoustic enclosure, the proposed microphone array adopts an arbitrary model of channel transfer function (TF) relating microphone and speech source. Since the estimation of channel TF itself is often intractable, herein, transfer function ratio (TFR) is estimated instead and used to form a suboptimal beamformer. A robust TFR estimation method is proposed based on signal subspace analysis technique against stationary or slowly varying noise. Experiments using simulated signal and actual signal recorded in a real room illustrate that the proposed method has high performance in adverse environment.
ER -