Reverberant speech recognition: A phoneme analysis

We present a phoneme confusion analysis that models the impact of reverberation on automatic speech recognition performance by formulating the problem in a Bayesian framework. Our analysis under reverberant conditions shows the relative robustness to reverberation of each phoneme and also indicates that substitutions and deletions correspond to the most common errors in a phoneme recognition task. Finally, a model is proposed to estimate the confusability of each phoneme depending on the reverberation level which is evaluated using two independent data sets.