AES E-Library

AES E-Library

Applying Blind Source Separation and Deconvolution to Real-World Acoustic Environments

Document Thumbnail

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.

AES Convention: Paper Number:
Publication Date:

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.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

AES - Audio Engineering Society