IWAENC 2010, International Workshop on Acoustic Echo and Noise Control, August 30-September 2nd, 2010, Tel Aviv, Israel
In this paper, we consider the case of single microphone
Blind speech separation. We exploit the joint model
of speech signal (the voiced part) that consists on modeling the
correlation of speech with a short term autoregressive process
and its quasi-periodicity with a long term one. A linear state
space model with unknown parameters is derived. The separation
is achieved by estimating the state as well as the unknown
parameters. This task is assured by using the Kalman filtering
algorithm.
Type:
Conférence
City:
Tel Aviv
Date:
2010-08-30
Department:
Systèmes de Communication
Eurecom Ref:
3216
Copyright:
Copyright VDE Verlag. Personal use of this material is permitted. The definitive version of this paper was published in IWAENC 2010, International Workshop on Acoustic Echo and Noise Control, August 30-September 2nd, 2010, Tel Aviv, Israel and is available at :
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