Reverberation time estimation on the ACE corpus using the SDD method
This work validates the algorithm's performance in real-world acoustic environments, though it is incremental as it applies an existing method to new data.
The authors tested their existing T60 estimation algorithm on real recorded impulse responses and noise from the ACE corpus, achieving results comparable to those on simulated data.
Reverberation Time (T60) is an important measure for characterizing the properties of a room. The author's T60 estimation algorithm was previously tested on simulated data where the noise is artificially added to the speech after convolution with a impulse responses simulated using the image method. We test the algorithm on speech convolved with real recorded impulse responses and noise from the same rooms from the Acoustic Characterization of Environments (ACE) corpus and achieve results comparable results to those using simulated data.