Abstract: Methods, systems, and products for testing a grammar used in speech recognition for reliability in a plurality of operating environments having different background noise that include: receiving recorded background noise for each of the plurality of operating environments; generating a test speech utterance for recognition by a speech recognition engine using a grammar; mixing the test speech utterance with each recorded background noise, resulting in a plurality of mixed test speech utterances, each mixed test speech utterance having different background noise; performing, for each of the mixed test speech utterances, speech recognition using the grammar and the mixed test speech utterance, resulting in speech recognition results for each of the mixed test speech utterances; and evaluating, for each recorded background noise, speech recognition reliability of the grammar in dependence upon the speech recognition results for the mixed test speech utterance having that recorded background noise.

Abstract: Methods, systems, and products for testing a grammar used in speech recognition for reliability in a plurality of operating environments having different background noise that include: receiving recorded background noise for each of the plurality of operating environments; generating a test speech utterance for recognition by a speech recognition engine using a grammar; mixing the test speech utterance with each recorded background noise, resulting in a plurality of mixed test speech utterances, each mixed test speech utterance having different background noise; performing, for each of the mixed test speech utterances, speech recognition using the grammar and the mixed test speech utterance, resulting in speech recognition results for each of the mixed test speech utterances; and evaluating, for each recorded background noise, speech recognition reliability of the grammar in dependence upon the speech recognition results for the mixed test speech utterance having that recorded background noise.

Abstract: Methods, systems, and products for testing a grammar used in speech recognition for reliability in a plurality of operating environments having different background noise that include: receiving recorded background noise for each of the plurality of operating environments; generating a test speech utterance for recognition by a speech recognition engine using a grammar; mixing the test speech utterance with each recorded background noise, resulting in a plurality of mixed test speech utterances, each mixed test speech utterance having different background noise; performing, for each of the mixed test speech utterances, speech recognition using the grammar and the mixed test speech utterance, resulting in speech recognition results for each of the mixed test speech utterances; and evaluating, for each recorded background noise, speech recognition reliability of the grammar in dependence upon the speech recognition results for the mixed test speech utterance having that recorded background noise.

Abstract: A method, system and computer program for automatically generating call flow statistics in a voice application. Embodiments of the present invention address deficiencies of the art in respect to call flow statistics generation systems and provide a novel and non-obvious method, system and computer program product for automatically generating a call flow statistics-generating application and presenting updated statistics on a call flow representation. Various statistics collection points are identified on the visual representation. Upon running of the voice application, call flow statistics are gathered and presented for each statistics collection point. Call identifiers corresponding to each call path can be selected and call paths corresponding to the selected call identifier may be highlighted and their call statistics displayed.

Abstract: A method (100) and system (30) to enable automatic generation and testing of voice applications includes generating (102) a test driver application (TDA) (32) and generating (104) a modified original voice application (34) to be tested by the TDA within a call flow builder (10). The modified application can include or generate (106) “test hooks” or more particularly DTMF tones and DTMF grammars that can be used to synchronize the modified original voice application with the TDA. The TDA can test (110) all possible paths of the modified original voice application. Note the TDA and the modified original voice application can be generated and/or tested (112) in a test environment within the call flow builder or a telephony environment. The TDA can be automatically generated (108) to exercise all possible flows where the DTMF tones define the current state and location of the modified application.

Abstract: Methods, systems, and products for testing a grammar used in speech recognition for reliability in a plurality of operating environments having different background noise that include: receiving recorded background noise for each of the plurality of operating environments; generating a test speech utterance for recognition by a speech recognition engine using a grammar; mixing the test speech utterance with each recorded background noise, resulting in a plurality of mixed test speech utterances, each mixed test speech utterance having different background noise; performing, for each of the mixed test speech utterances, speech recognition using the grammar and the mixed test speech utterance, resulting in speech recognition results for each of the mixed test speech utterances; and evaluating, for each recorded background noise, speech recognition reliability of the grammar in dependence upon the speech recognition results for the mixed test speech utterance having that recorded background noise.

Abstract: A testing method can include the step of identifying a host within a grid environment, wherein the host is a software object. A ghost agent can be associated with the host. The actions of the host can be replicated within the ghost agent. At least one test routine can be loaded into the ghost agent. The test routine can be executed within the ghost agent. Moreover, the executing step can utilize data gathered from the replicated actions. Test output can be generated from the test routine.