Inverse filtering for speech dereverberation less sensitive to noise and room transfer function fluctuations

Authors:
Takafumi Hikichi;Marc Delcroix;Masato Miyoshi
Affiliations:
Media Information Laboratory, NTT Communication Science Laboratories, NTT Corporation, Soraku-gun, Kyoto, Japan;Media Information Laboratory, NTT Communication Science Laboratories, NTT Corporation, Soraku-gun, Kyoto, Japan;Media Information Laboratory, NTT Communication Science Laboratories, NTT Corporation, Soraku-gun, Kyoto, Japan
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2007

Citing 3
Cited 11

The truncated SVD as a method for regularization

BIT
On-Line Relaxation Algorithm Applicable to Acoustic Fluctuation for Inverse Filter in Multichannel Sound Reproduction System

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Compensating of room acoustic transfer functions affected by change of room temperature

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02

An algorithm to generate representations of system identification errors

Research Letters in Signal Processing
Calculating Inverse Filters for Speech Dereverberation

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Signal Processing Techniques for Robust Speech Recognition

IEICE - Transactions on Information and Systems
Integrated speech enhancement method using noise suppression and dereverberation

IEEE Transactions on Audio, Speech, and Language Processing
Equalization of multichannel acoustic systems in oversampled subbands

IEEE Transactions on Audio, Speech, and Language Processing
Fast communication: Signal-dependent constraints for perceptually motivated suppression of late reverberation

Signal Processing
Reverberation model-based decoding in the logmelspec domain for robust distant-talking speech recognition

IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
Robust speech recognition based on dereverberation parameter optimization using acoustic model likelihood

IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
Speech dereverberation based on variance-normalized delayed linear prediction

IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
Conversational speech recognition in non-stationary reverberated environments

COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Multichannel Equalization in the KLT and Frequency Domains With Application to Speech Dereverberation

IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Inverse filtering of room transfer functions (RTFs) is considered an attractive approach for speech dereverberation given that the time invariance assumption of the used RTFs holds. However, in a realistic environment, this assumption is not necessarily guaranteed, and the performance is degraded because the RTFs fluctuate over time and the inverse filter fails to remove the effect of the RTFs. The inverse filter may amplify a small fluctuation in the RTFs and may cause large distortions in the filter's output. Moreover, when interference noise is present at the microphones, the filter may also amplify the noise. This paper proposes a design strategy for the inverse filter that is less sensitive to such disturbances. We consider that reducing the filter energy is the key to making the filter less sensitive to the disturbances. Using this idea as a basis, we focus on the influence of three design parameters on the filter energy and the performance, namely, the regularization parameter, modeling delay, and filter length. By adjusting these three design parameters, we confirm that the performance can be improved in the presence of RTF fluctuations and interference noise.