Paper Info
Title
Multi-Channel Speaker Localization And Separation Using A Model-Based Gsc And An Inertial Measurement Unit
Abstract
In this paper we propose a novel multi-channel algorithm to separate simultaneous speakers in an environment where the microphone array is subject to movement. When the microphones are mounted to a person's head, for instance, the movements can lead to ambiguities with respect to the sources and to distortions in the processed signal. The proposed system estimates the direction-of-arrival of the speaker's signals relative to the array and updates these estimates using an inertial measurement unit (IMU). A GMM-based localization model is used to compute the posterior probabilities of source activity in each time-frequency bin and its parameters are re-estimated during array movements. Then, a model-based generalized side-lobe canceler (GSC) whose components are continuously updated, is employed for the separation of sources. For various speeds of microphone array rotation, it is demonstrated that the IMU-based system delivers improved speech quality when compared to the baseline technique without IMU.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)
Multi-channel speech enhancement, beamforming, source separation
Field
DocType
ISSN
Bin,Speech quality,Computer science,Speech recognition,Posterior probability,Microphone array,Multi channel,Inertial measurement unit
Conference
1520-6149
Citations 
PageRank 
References 
1
0.35
10
Authors
3
Name
Order
Citations
PageRank
Mehdi Zohourian182.21
Alan Archer-Boyd210.35
Rainer Martin3102991.14