Non-intrusive estimation of the level of reverberation in speech
Pablo Peso Parada, Dushyant Sharma, Patrick A. Naylor · 2014
We show corroborating evidence that, among a set of common acoustic parameters, the clarity index C50provides a measure of reverberation that is well correlated with speech recognition accuracy. We also present a data driven method for non-intrusive C50parameter estimation from a single channel speech signal. The method extracts a number of features from the speech signal and uses a binary regression tree, trained on appropriate training data, to estimate the C50. Evaluation is carried out using speech utterances convolved with real and simulated room impulse responses, and additive babble noise. The new method outperforms a baseline approach in our evaluation.