DocumentCode :
865908
Title :
Position and Trajectory Learning for Microphone Arrays
Author :
Smaragdis, Paris ; Boufounos, Petros
Author_Institution :
Mitsubishi Electr. Res. Labs., Cambridge, MA
Volume :
15
Issue :
1
fYear :
2007
Firstpage :
358
Lastpage :
368
Abstract :
In this paper, we tackle the problem of source localization by example. We present a methodology that allows a user to train a microphone array system using signals from a set of positions and trajectories and subsequently recall the localization information when presented with new input signals. To do so we present a new statistical model which is capable of accurately describing features from the cross spectra of the microphone signals so as to model the room responses from all positions of interest. We further extend this model to allow modeling of sequences of positions, thereby also enabling the learning and recognition of trajectories. Because of its learning nature this method provides practical advantages in setting up a microphone array, by not requiring favorable room acoustics, careful element positioning or uniformity of sensors. It also introduces an approach to localization which can be extended to other problems requiring models of transfer functions. We present tests on synthetic and real-world data and present the resulting recognition rates for a variety of situations
Keywords :
acoustic signal processing; microphone arrays; microphone arrays; microphone signals; position learning; sensors uniformity; source localization; trajectories recognition; trajectory learning; Acoustic reflection; Acoustic sensors; Array signal processing; Laboratories; Microphone arrays; Optical reflection; Phased arrays; Robustness; Sensor arrays; Signal processing algorithms; Localization; microphone arrays; phase wrapping;
fLanguage :
English
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1558-7916
Type :
jour
DOI :
10.1109/TASL.2006.876758
Filename :
4032796
Link To Document :
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