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One major issue of implementing broadband active noise control systems in reverberant
rooms is the lack of reference signals. In this work, by exploiting the spatial sound
field characteristics, a time-domain sound field separation method is developed to
generate the reference signal for broadband active noise control systems in reverberant
rooms. The time-domain sound field separation method separates the outgoing field produced
by the primary source from the secondary source feedback and room reverberation on a

Recently, hierarchical language identification systems have shown significant improvement over single level systems in both closed and open set language identification tasks. However, developing such a system requires the features and classifier selection at each node in the hierarchical structure to be hand crafted. Motivated by the superior ability of end-to-end deep neural network architecture to jointly optimize the feature extraction and classification process, we propose a novel approach developing an end-to-end hierarchical language identification system.

We introduce DigitalSeal, a transaction authentication tool that works in both online and offline use scenarios. DigitalSeal is a digital scanner that reads transaction information sent by an issuing entity of the DigitalSeal reader for authentication, and the information is encoded using a specially crafted bar-code. DigitalSeal views various pieces of transaction information for users to verify and proceed with transaction authentication. DigitalSeal is generic, and is capable of reading information viewed on paper, computer monitors (similarly, kiosk monitors), and mobile phones.