US Patent:
20020138261, Sep 26, 2002
Inventors:
Daniel Ziegelmiller - Harvard MA, US
International Classification:
G10L015/00
Abstract:
The present invention provides a method to automate the validation of dynamic data presented over telecommunications paths. The invention utilizes continuous speaker-independent speech recognition together with a process known generally as natural language recognition to reduce dynamic utterances to machine encoded text without requiring a prior training phase. Further, when configured by the end user to do so, the test system will convert common examples of dynamic speech, such as numbers, dates, times, and currency utterances into their usual textual representation. This eliminates the limitation that all tested utterances need to be known by the test system in advance of the test. By converting the dynamic utterances to machine encoded text, the invention facilitates automated validation of the data so converted, by allowing its use as input into an automated system which can independently access an validate the data.