Regularization for partial multichannel equalization for speech dereverberation
Acoustic multichannel equalization techniques such as the multiple-input/output inverse
theorem (MINT), which aim to equalize the room impulse responses (RIRs) between the …
theorem (MINT), which aim to equalize the room impulse responses (RIRs) between the …
Telepresence video quality assessment
Video conferencing, which includes both video and audio content, has contributed to
dramatic increases in Internet traffic, as the COVID-19 pandemic forced millions of people to …
dramatic increases in Internet traffic, as the COVID-19 pandemic forced millions of people to …
Joint dereverberation and noise reduction based on acoustic multi-channel equalization
Regularized acoustic multi-channel equalization techniques, such as regularized partial
multi-channel equalization based on the multiple-input/output inverse theorem (RPMINT) …
multi-channel equalization based on the multiple-input/output inverse theorem (RPMINT) …
Robust multichannel dereverberation using relaxed multichannel least squares
F Lim, W Zhang, EAP Habets… - IEEE/ACM Transactions …, 2014 - ieeexplore.ieee.org
A novel approach is proposed for robust multichannel dereverberation in the presence of
system identification error (SIEs), based on channel shortening. A mathematical link is …
system identification error (SIEs), based on channel shortening. A mathematical link is …
Subjective speech quality and speech intelligibility evaluation of single-channel dereverberation algorithms
In this contribution, six different single-channel dereverberation algorithms are evaluated
subjectively in terms of speech intelligibility and speech quality. In order to study the …
subjectively in terms of speech intelligibility and speech quality. In order to study the …
Multi-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction for Speech Enhancement
Neural network based approaches to speech enhancement have shown to be particularly
powerful, being able to leverage a data-driven approach to result in a significant …
powerful, being able to leverage a data-driven approach to result in a significant …
A study on speech quality and speech intelligibility measures for quality assessment of single-channel dereverberation algorithms
This paper reports on the evaluation of several objective quality measures for predicting the
quality of the dereverberated speech signals. The correlations between subjective quality …
quality of the dereverberated speech signals. The correlations between subjective quality …
Late reverberant power spectral density estimation based on an eigenvalue decomposition
Multi-channel methods for estimating the late reverberant power spectral density (PSD) rely
on an estimate of the direction of arrival (DOA) of the speech source or of the relative early …
on an estimate of the direction of arrival (DOA) of the speech source or of the relative early …
PAMGAN+/-: Improving Phase-Aware Speech Enhancement Performance via Expanded Discriminator Training
Recent speech enhancement work, which makes use of neural networks trained with a loss
derived in part using an adversarial metric prediction network, has shown to be very …
derived in part using an adversarial metric prediction network, has shown to be very …
Blind estimation of reverberation time based on spectro-temporal modulation filtering
A novel method for blind estimation of the reverberation time (RT60) is proposed based on
applying spectro-temporal modulation filters to time-frequency representations. 2D-Gabor …
applying spectro-temporal modulation filters to time-frequency representations. 2D-Gabor …