Abstract: Systems and methods are provided for configuring and executing complex software. The complex software may include code corresponding to a core layer and code corresponding to at least one of a plurality of industry extensions. A method for configuring software is provided that includes presenting at least one business set for selection by the user. The method further includes receiving a selection of at least one business set from the user, and receiving a selection of functions from the user based on the selected business set. The method further includes determining whether the selection of functions by the user is valid, and activating switches to enable software elements corresponding to the selected functions, if the user selection of the functions is determined to be valid.

Abstract: A method and apparatus for performing automatic speech recognition (ASR) in a distributed ASR system for use over a wireless channel takes advantage of probabilistic information concerning the likelihood that a given, portion of the data has been accurately decoded to a particular value. The probability of error in each feature in a transmitted feature set is employed to improve speech recognition performance under adverse channel conditions. Bit error probabilities for each of the bits which are used to encode a given ASR feature are used to compute the confidence level that the system may have in the decoded value of that feature. Features that have been corrupted with high probability are advantageously either not used or are weighted less in the acoustic distance computation performed by the speech recognizer.