AES E-Library

A Multimicrophone Voice Activity Detection System Based on Mutual Information

In many applications, such as hands-free telephony and smart environments, there is a need to distinguish voice from background noise and reverberation. A proposed system computes an information-theoretic coherency between multiple microphones in order to detect near-field speech. The system performance was compared to that of a reference case in both simulations and experiments. While all such systems degrade with increasing noise and reverberation, the proposed system proved to be more robust under adverse conditions.

Authors: Talantzis, Fotios; Constantinides, Anthony G.
Affiliations: Autonomic and Grid Computing Group, Athens Information Technology, Athens, Greece; Dept. of Electrical & Electronic Engineering, Imperial College London, London, UK(See document for exact affiliation information.)
JAES Volume 57 Issue 11 pp. 937-950; November 2009 Import into BibTeX

Click to purchase paper or login as an AES member. If your company or school subscribes to the AES Journal then you can look for this paper in the institutional version of the Online Journal. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD JAES57)   /jaes57/11/pg937.pdf

Start a discussion about this paper!