A Blind Multichannel Dereverberation Algorithm Based on the Natural Gradient
نویسندگان
چکیده
This paper introduces a novel blind on-line dereverberation algorithm for speech signals based on a natural gradient deconvolution algorithm. Existing blind dereverberation algorithms often employ a structure that performs speech prewhitening using LPC analysis followed by a blind deconvolution step applied to the LPC residual. Here it is shown that better performance can be achieved by respecting the correct ordering of the stationary (room response) and nonstationary filters (LPC filters) within the dereverberation algorithm. Furthermore this makes replicating the dereverberation filter unnecessary.
منابع مشابه
Frequency Domain Realization of a Multichannel Blind Deconvolution Algorithm Based on the Natural Gradient
This paper describes two efficient realizations of an adaptive multichannel blind deconvolution algorithm based on the natural gradient algorithm originally proposed by Amari, Douglas, Cichocki, and Yang. The proposed algorithms use fast convolution and correlation techniques and operate primarily in the frequency domain. Since the cost function minimized by the algorithms is welldefined in the...
متن کاملIterated Delay and Predict Equalization for Blind Speech Dereverberation
In this paper, we consider the blind multichannel dereverberation problem for a single source. The multichannel reverberation impulse response is assumed to be stationary enough to allow estimation of the correlations it induces from the received signals. It is well-known that a single-input multi-output (SIMO) filter can be equalized blindly by applying multichannel linear prediction (LP) to i...
متن کاملA Natural Gradient Convolutive Blind Source Separation Algorithm for Speech Mixtures
In this paper, a novel algorithm for separating mixtures of multiple speech signals measured by multiple microphones in a room environment is proposed. The algorithm is a modification of an existing approach for density-based multichannel blind deconvolution using natural gradient adaptation. It employs linear predictors within the coefficient updates and produces separated speech signals whose...
متن کاملA General Framework for Incorporating Time-Frequency Domain Sparsity in Multichannel Speech Dereverberation
Blind multichannel speech dereverberation methods based on multichannel linear prediction (MCLP) estimate the dereverberated speech component without any knowledge of the room acoustics by estimating and subtracting the undesired reverberant component from the reference microphone signal. In this paper we present a general framework for incorporating sparsity in the time-frequency domain into M...
متن کاملGeometrical Structures of Fir Manifold and Their Application to Multichannel Blind Deconvolution
In this paper we study geometrical structures on the manifold of FIR lters and their application to multichannel blind deconvolution First we introduce the Lie group and Riemannian metric to the manifold of FIR lters Then we derive the natu ral gradient on the manifold using the isometry of the Riemannian metric Using the natural gradient we present a novel learning algorithm for blind deconvol...
متن کامل