Abstract:
A method and system of identifying and optimizing audio segments in a speech application program. Audio segments are identified and extracted from a speech application program. The audio segments containing audio text to be recorded are then optimized in order to facilitate the recording of the audio text. The optimization of the extracted audio segments may include accounting for programmed pauses and variables in the speech application code, identifying multi-sentence segments and the presense of duplicate audio segments, and accounting for the effects of coarticulation.
Abstract:
A method for state transition in voice systems including: generating one or more stackable state macros, each of the one or more stackable state macros including a plurality of commands; saving the current state before executing another macro; enabling restoring the previous state after a plurality of commands is completed, allowing a user to utter voice commands to restore the individual state of components or the voice systems as a whole to the previous state or to a known home state. The method further utilizes voice commands not specific to the current state and is used specifically for automatically controlling a plurality of components of a vehicle.
Abstract:
Methods, apparatus, and products are disclosed for record disambiguation in a multimodal application operating on a multimodal device, the multimodal device supporting multiple modes of interaction including at least a voice mode and a visual mode, that include: prompting, by the multimodal application, a user to identify a particular record among a plurality of records; receiving, by the multimodal application in response to the prompt, a voice utterance from the user; determining, by the multimodal application, that the voice utterance ambiguously identifies more than one of the plurality of records; generating, by the multimodal application, a user interaction to disambiguate the records ambiguously identified by the voice utterance in dependence upon record attributes of the records ambiguously identified by the voice utterance; and selecting, by the multimodal application for further processing, one of the records ambiguously identified by the voice utterance in dependence upon the user interaction.
Abstract:
A method and system for defining standard catch styles used in generating speech application code for managing catch events, in which a style-selection menu that allows for selection of one or more catch styles is presented. Each catch style represents a system response to a catch event. A catch style can be selected from the style-selection menu. For each selected catch style, the system can prepare a response for each catch event. If the selected catch style requires playing a new audio message in response to a particular catch event, a contextual message can be entered in one or more text fields. The contextual message entered in each text field corresponds to the new audio message that will be played in response to the particular catch event. In certain catch styles, the entered contextual message is different for each catch event, while in other catch styles, the entered contextual message is the same for each catch event. Finally, if the selected catch style does not require playing of a new audio message in response to a particular catch event, the system can replay the system prompt.
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 and system for automated code generation in a call flow builder (10) can include a display coupled to a processor. The processor can be programmed to select a real code (database connection) or a prototype code using a graphical interface (20) to provide a selected code and develop a call flow using the selected code. The processor can be programmed to select the prototype code as the selected code, test the call flow in a local development environment and further enable the switching of the selected code from the prototype to the real code to complete a database connection. The processor can be further programmed to enable specification of a default or range of values. Additionally, the processor can be programmed to use a database connection code that replaces a prototype assignment of values to variables when the real code is the selected code.
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:
Methods, apparatus, and products are disclosed for adjusting a speech engine for a mobile computing device based on background noise, the mobile computing device operatively coupled to a microphone, that include: sampling, through the microphone, background noise for a plurality of operating environments in which the mobile computing device operates; generating, for each operating environment, a noise model in dependence upon the sampled background noise for that operating environment; and configuring the speech engine for the mobile computing device with the noise model for the operating environment in which the mobile computing device currently operates.