Reverberation is known to introduce difficulties in audio source separation, and reverse engineering independent sources from a convolutive mixture is one of the toughest challenges within blind source separation. This paper proposes two novel methods that combine dereverberation work with microphone interference reduction. The results are evaluated objectively using the BSS Eval toolbox and Reverb Workshop Evaluation Toolbox, relative to the effectiveness of the dereverberation and source separation. Both proposed methods show improvements on the existing dereverberation technique used. However, this has a negative impact on the source separation, as has also been seen in other work. An explanation for this negative impact and alternative approaches to avoid this situation are proposed.
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.