Abstract: Voice recognition methods, systems and interfaces are used to collect data and produce databases that are then searched and used to produce reports or electronic filings. The databases are developed using a hierarchically designed command structure and a hierarchy of relational databases for the entry and recognition of voice commands. The invention uses an Adaptive Grammar that allows a very high probability for accurate recognition and a rapid recognition response to be achieved. The invention allows for multiple users and multiple mobile computers to maximize voice recognition capabilities.

Abstract: In a multistation intercommunication system human speech is processed on at least two respective levels of generic complexity. The speech is received in one or more origin stations in parallel and a necessity is detected to understand the speech in an associated application environment. Intercommunication is controlled in a distributed manner, by detecting temporal speech items to be recognized and dynamically assigning speech items amongst one or more of a plurality of distributed speech recognizing facilities to eventually generate recognized items. Further intercommunication is controlled to understand recognized items in a further context of the application in question through assigning the recognized items amongst one or more of a plurality of speech understanding facilities to generate speech items that have been understood. Assigning is effected in a distributed manner as based on a combination of contingency and statistics.