There is extensive research on listening-room compensation algorithms to remove the unwanted degradations of speech quality. Objective measures for quality assessment are required in order to evaluate such algorithms. They exist in two classes: reverberation-cancellation algorithms that equalize the room impulse response of the acoustic channel, and reverberation-suppression algorithms that remove the reverberant part of the speech signal by calculating the spectral weight for time-frequency coefficients. This paper focuses on evaluating the former. Algorithms are analyzed regarding their capability to assess reverberation, coloration, spectral distortion, perceived distance, and overall quality of the signals. An evaluation of the sound quality of the dereverberated signals is derived from subjective listening tests and then compared to objective measures.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.