Noise robust integration for blind and non-blind reverberation time estimation
This work addresses noise robustness in reverberation time estimation for audio processing applications, but it is incremental as it builds on existing methods.
The paper tackled the problem of estimating decay rates for reverberation time estimation, which is sensitive to noise and computationally complex, by proposing a low-complexity estimator robust to stationary noise, with performance demonstrated through simulations and experiments.
The estimation of the decay rate of a signal section is an integral component of both blind and non-blind reverberation time estimation methods. Several decay rate estimators have previously been proposed, based on, e.g., linear regression and maximum-likelihood estimation. Unfortunately, most approaches are sensitive to background noise, and/or are fairly demanding in terms of computational complexity. This paper presents a low complexity decay rate estimator, robust to stationary noise, for reverberation time estimation. Simulations using artificial signals, and experiments with speech in ventilation noise, demonstrate the performance and noise robustness of the proposed method.