A subset of signal processing researchers strive to enable digital systems to isolate individual sound sources from an environment containing several. As part of this effort, we experiment with an approach known as "blind source separation and deconvolution" (BSSD). The main contribution of this paper is the application of current BSSD algorithms to unconstrained real-world applications.

Authors: Westner, Alex; Bove Jr., V. Michael
Affiliation: MIT Media Lab, Cambridge, MA
AES Convention: 106 (May 1999) Paper Number: 4955
Publication Date: May 1, 1999
Subject: Signal Processing

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.