Interspeech'2005 - Eurospeech

Lisbon, Portugal
September 4-8, 2005

Noise Compensation Using Interacting Multiple Kalman Filters

Jianping Deng, Martin Bouchard, Tet Hin Yeap

University of Ottawa, Canada

This paper presents an approach to compensate the effects of noise with an Interacting Multiple Model algorithm using Unscented Kalman Filters (IMM-UKF) in log-spectral domain. The performance of this approach is studied experimentally on a continuous digits recognition task with additive noise conditions and compared with results previously obtained by the implementation of the Interacting Multiple Model algorithm using Extended Kalman Filters (IMM-EKF) in log-spectral domain. Simulation results show that a better performance in terms of word recognition rates can be obtained with the suggested approach.

Full Paper

Bibliographic reference.  Deng, Jianping / Bouchard, Martin / Yeap, Tet Hin (2005): "Noise compensation using interacting multiple kalman filters", In INTERSPEECH-2005, 949-952.