DocumentCode
1238322
Title
The cocktail party problem [instrumentation notes]
Author
Ainhoren, Yoel ; Engelberg, Shlomo ; Friedman, Shai
Volume
11
Issue
3
fYear
2008
fDate
6/1/2008 12:00:00 AM
Firstpage
44
Lastpage
48
Abstract
Consider a cocktail party with many people attending and many conversations going on simultaneously. If we recorded the sound from somewhere in the room, we would find that we had recorded many conversations at once, and it would be very difficult to tell what was being said by any given person. The problem of taking such a recording, or several such recordings, and separating out the different speakers is known as the cocktail party problem. The generalization of this problem to separating different independent components of a signal without making use of any specific knowledge of the component signals is known as blind source separation. The ability to take a recording in which many people are speaking and to create separate tracks that contain what was said by each person is of great interest to industry and government.
Keywords
blind source separation; independent component analysis; blind source separation; cocktail party problem; independent component analysis; Blind source separation; Government; Independent component analysis; Instruments; Microphones; Performance evaluation; Random variables; Scattering; Terminology; Testing;
fLanguage
English
Journal_Title
Instrumentation & Measurement Magazine, IEEE
Publisher
ieee
ISSN
1094-6969
Type
jour
DOI
10.1109/MIM.2008.4534378
Filename
4534378
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