On a Blind Speech Dereverberation Algorithm Using Multi-Channel Linear Prediction

Marc DELCROIX; Takafumi HIKICHI; Masato MIYOSHI

doi:10.1093/ietfec/e89-a.10.2837

On a Blind Speech Dereverberation Algorithm Using Multi-Channel Linear Prediction

Marc DELCROIX, Takafumi HIKICHI, Masato MIYOSHI

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It is well known that speech captured in a room by distant microphones suffers from distortions caused by reverberation. These distortions may seriously damage both speech characteristics and intelligibility, and consequently be harmful to many speech applications. To solve this problem, we proposed a dereverberation algorithm based on multi-channel linear prediction. The method is as follows. First we calculate prediction filters that cancel out the room reverberation but also degrade speech characteristics by causing excessive whitening of the speech. Then, we evaluate the prediction-filter degradation to compensate for the excessive whitening. As the reverberation lengthens, the compensation performance becomes worse due to computational accuracy problems. In this paper, we propose a new computation that may improve compensation accuracy when dealing with long reverberation.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.10 pp.2837-2846

Publication Date: 2006/10/01

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Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e89-a.10.2837

Type of Manuscript: PAPER

Category: Engineering Acoustics

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Marc DELCROIX, Takafumi HIKICHI, Masato MIYOSHI, "On a Blind Speech Dereverberation Algorithm Using Multi-Channel Linear Prediction" in IEICE TRANSACTIONS on Fundamentals, vol. E89-A, no. 10, pp. 2837-2846, October 2006, doi: 10.1093/ietfec/e89-a.10.2837.
Abstract: It is well known that speech captured in a room by distant microphones suffers from distortions caused by reverberation. These distortions may seriously damage both speech characteristics and intelligibility, and consequently be harmful to many speech applications. To solve this problem, we proposed a dereverberation algorithm based on multi-channel linear prediction. The method is as follows. First we calculate prediction filters that cancel out the room reverberation but also degrade speech characteristics by causing excessive whitening of the speech. Then, we evaluate the prediction-filter degradation to compensate for the excessive whitening. As the reverberation lengthens, the compensation performance becomes worse due to computational accuracy problems. In this paper, we propose a new computation that may improve compensation accuracy when dealing with long reverberation.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.10.2837/_p

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@ARTICLE{e89-a_10_2837,
author={Marc DELCROIX, Takafumi HIKICHI, Masato MIYOSHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={On a Blind Speech Dereverberation Algorithm Using Multi-Channel Linear Prediction},
year={2006},
volume={E89-A},
number={10},
pages={2837-2846},
abstract={It is well known that speech captured in a room by distant microphones suffers from distortions caused by reverberation. These distortions may seriously damage both speech characteristics and intelligibility, and consequently be harmful to many speech applications. To solve this problem, we proposed a dereverberation algorithm based on multi-channel linear prediction. The method is as follows. First we calculate prediction filters that cancel out the room reverberation but also degrade speech characteristics by causing excessive whitening of the speech. Then, we evaluate the prediction-filter degradation to compensate for the excessive whitening. As the reverberation lengthens, the compensation performance becomes worse due to computational accuracy problems. In this paper, we propose a new computation that may improve compensation accuracy when dealing with long reverberation.},
keywords={},
doi={10.1093/ietfec/e89-a.10.2837},
ISSN={1745-1337},
month={October},}

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TY - JOUR
TI - On a Blind Speech Dereverberation Algorithm Using Multi-Channel Linear Prediction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2837
EP - 2846
AU - Marc DELCROIX
AU - Takafumi HIKICHI
AU - Masato MIYOSHI
PY - 2006
DO - 10.1093/ietfec/e89-a.10.2837
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2006
AB - It is well known that speech captured in a room by distant microphones suffers from distortions caused by reverberation. These distortions may seriously damage both speech characteristics and intelligibility, and consequently be harmful to many speech applications. To solve this problem, we proposed a dereverberation algorithm based on multi-channel linear prediction. The method is as follows. First we calculate prediction filters that cancel out the room reverberation but also degrade speech characteristics by causing excessive whitening of the speech. Then, we evaluate the prediction-filter degradation to compensate for the excessive whitening. As the reverberation lengthens, the compensation performance becomes worse due to computational accuracy problems. In this paper, we propose a new computation that may improve compensation accuracy when dealing with long reverberation.
ER -