Blind source separation and background suppression in audio
March 3, 2010
3:00pm 206 SEC
Abstract
An important problem in signal processing is the "cocktail party
problem", where several people are speaking at the same time and the
objective is to separate the different speakers, typically using several
microphones placed in different localities. Numerous techniques had been
proposed to solve the cocktail party problem, with various degrees of
success. Many of these techniques work very well for artificially mixed
speech signals, but when it comes to real recordings, even with two
speakers, the success is often mixed. In this talk, we present a very
robust method for solving the cocktail party problem in real recording with
two speakers based on time-frequency separation.
A related problem is to suppress background noise so the intended
speaker can be heard more clearly. We present an effective
technique for solving this problem and discuss potential improvements for
future study.
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Last modified: April 11 2016 - 18:14:43