Noise-robust reverberation time estimation using spectral decay distributions with reduced computational cost
Reverberation Time (T 60) is an important measure of the acoustic properties of a room. It
can provide information about the acoustic environment, the intelligibility, and quality of …
can provide information about the acoustic environment, the intelligibility, and quality of …
Joint estimation of reverberation time and early-to-late reverberation ratio from single-channel speech signals
The reverberation time (RT) and the early-to-late reverberation ratio (ELR) are two key
parameters commonly used to characterize acoustic room environments. In contrast to …
parameters commonly used to characterize acoustic room environments. In contrast to …
Performance comparison of algorithms for blind reverberation time estimation from speech
The reverberation time, T60, is one of the key parameters used to quantify room acoustics. It
can provide information about the quality and intelligibility of speech recorded in a …
can provide information about the quality and intelligibility of speech recorded in a …
Blind estimation of the reverberation fingerprint of unknown acoustic environments
P Murgai, M Rau, JM Jot - Audio Engineering Society Convention 143, 2017 - aes.org
Methods for blind estimation of a room's reverberation properties have been proposed for
applications including speech dereverberation and audio forensics. In this paper, we …
applications including speech dereverberation and audio forensics. In this paper, we …
Blind estimators for reverberation time and direct-to-reverberant energy ratio using subband speech decomposition
TM Prego, AA de Lima… - 2015 IEEE workshop …, 2015 - ieeexplore.ieee.org
This paper describes algorithms for estimating two important features associated with the
reverberation effect on speech signals: the reverberation time and direct-to-reverberant …
reverberation effect on speech signals: the reverberation time and direct-to-reverberant …
An integrated multi-channel approach for joint noise reduction and dereverberation
The performance of speech communication and automatic speech recognition systems
greatly degrades in real conditions where reverberation and noise exist. In this paper, we …
greatly degrades in real conditions where reverberation and noise exist. In this paper, we …
Exploring auditory-inspired acoustic features for room acoustic parameter estimation from monaural speech
Room acoustic parameters that characterize acoustic environments can help to improve
signal enhancement algorithms such as for dereverberation, or automatic speech …
signal enhancement algorithms such as for dereverberation, or automatic speech …
Single-channel maximum-likelihood T60 estimation exploiting subband information
This contribution presents four algorithms developed by the authors for single-channel
fullband and subband T60 estimation within the ACE challenge. The blind estimation of the …
fullband and subband T60 estimation within the ACE challenge. The blind estimation of the …
A denoising-aided multi-task learning method for blind estimation of reverberation time
Y Zhang, J Sang, C Zheng, X Li - Measurement, 2024 - Elsevier
The noise in reverberant speech severely limits the estimation accuracy of reverberation
time T60 using current deep learning (DL) methods. To address this issue, this paper …
time T60 using current deep learning (DL) methods. To address this issue, this paper …
Modulation-domain Kalman filtering for monaural blind speech denoising and dereverberation
N Dionelis, M Brookes - IEEE/ACM Transactions on Audio …, 2019 - ieeexplore.ieee.org
We describe a monaural speech enhancement algorithm based on modulation-domain
Kalman filtering to blindly track the time-frequency log-magnitude spectra of speech and …
Kalman filtering to blindly track the time-frequency log-magnitude spectra of speech and …