This paper presents a speech-model using the Linear Predictive (LP) residual signal and Maximum Likelihood Estimator (MLE). With this model an accuracy of the reverberation time estimation can be improved. During past decade, the reverberation time estimation was performed using only maximum likelihood detector, which resulted in excess time of estimation. For the purpose of estimating room aco...

This paper presents a method, which is able to give a blind estimation of the reverberation time of an enclosed space, using only the signal from two or more spatially distributed receivers, for example a binaural signal. There is no need for a controlled or known excitation signal, and there are no special requirements for the excitation signal. The method works with any kind of acoustic sourc...

We present an algorithm for reverberant speech enhancement using one microphone. We first propose a novel pitch-based reverberation measure for estimating reverberation time (RT60) based on the distribution of relative time lags. This measure of pitch strength correlates with reverberation and decreases systematically as detrimental effects of reverberation on harmonic structure increase. Then ...

SUMMARY The aim of this paper is first to review the best known reverberation time formulae and then to show that the reverberation time cannot be thereby predicted accurately in cases mostly encountered in practice, where the sound field is not diffuse. Introducing a correction to Fitzroy's formula allows better prediction of the reverberation time in the case of non-uniformly distributed soun...

This paper presents a speech-model using the Linear Predictive (LP) residual signal and Maximum Likelihood Estimator (MLE). With this model an accuracy of the reverberation time estimation can be improved. During past decade, the reverberation time estimation was performed using only maximum likelihood detector, which resulted in excess time of estimation. For the purpose of estimating room aco...

Speech signals recorded with a distant microphone usually contain reverberation, which degrades speech recognition performance. This is especially severe when the reverberation time exceeds 0.5 sec because the recognition performance cannot be improved sufficiently even if we use an acoustic model trained under matched reverberation conditions. Therefore, reverberation in speech signals should ...