A distributed voice applications system includes a voice application rendering agent and at least one voice applications agent that is configured to provide voice applications to an individual user. A management system may control and direct the voice applications rendering agent to create voice applications that are personalized for individual users based on user characteristics, information about the environment in which the voice applications will be performed, prior user interactions and other information. The voice applications agent and components of customized voice applications may be resident on a local user device which includes a voice browser and speech recognition capabilities. The local device, voice applications rendering agent and management system may be interconnected via a communications network.

A method includes connecting a call from a client device to a destination having an interactive voice response service; transcribing audio from the destination during the call to identify menu options of the interactive voice response service; generating visualizations representing the menu options; and outputting the visualizations to a display associated with the client device. A system includes a telephony system, an automatic speech recognition processing tool, and a visualization output generation tool. The telephony system connects a call from a client device to a destination having an interactive voice response service. The automatic speech recognition processing tool transcribes audio from the destination during the call to identify menu options of the interactive voice response service. The visualization output generation tool generates visualizations representing the menu options. The telephony system outputs the visualizations to a display associated with the client device.

A processor may receive first voice data associated with a first user utterance in conversation in a guided dialog system. The processor may identify from the first voice data a first topic of a set of topics associated with the first user utterance. The processor may identify a first solution associated with the first topic, the first solution having one or more solution segments for accomplishing a task related to the topic. The processor may generate a first response for a second user based on a first solution segment of the first solution and the first voice data.

A system and method for chatbot and search engine integration comprising chatbot crawler engine configured to detect all possible paths through a conversational flow between a chatbot and a user, and also comprising a chatbot search integration manager configured to receive a processed conversation flow from the chatbot crawler engine, parse the conversation flow to identify keywords and features, and build an indexable data structure which can be integrated into search engines in order to expose the information and data contained within the chatbot's knowledge base. This integration may allow search engine users to be redirected to a website hosting the chatbot when an indexed data structure comprises information relevant to a search engine query.

An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; identifying, based on the utterance, a task to be performed by the computational assistant; responsive to determining, by the computational assistant, that complete performance of the task will take more than a threshold amount of time, outputting, for playback by one or more speakers operably connected to the computing device, synthesized voice data that informs a user of the computing device that complete performance of the task will not be immediate; and performing, by the computational assistant, the task.

An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; identifying, based on the utterance, a task to be performed by the computational assistant; responsive to determining, by the computational assistant, that complete performance of the task will take more than a threshold amount of time, outputting, for playback by one or more speakers operably connected to the computing device, synthesized voice data that informs a user of the computing device that complete performance of the task will not be immediate; and performing, by the computational assistant, the task.

The present invention relates to communications methods and apparatus for determining whether a received call originated from an artificial intelligence system and the call handling procedures to be used on the received call based on whether or not the call was determined to have been originated from an artificial intelligence system. An exemplary method embodiment includes the steps of: receiving a first call; determining whether said first call originated from an artificial intelligence system; and when said first call is determined to have originated from an artificial intelligence system performing one or more artificial intelligence call handling operations.

An example operation may include one or more of transferring a copy of a plurality of revised translation data sets to be added to a software application into a grid structure, each revised translation data set comprising a prompt name in a first field, an interactive voice response (IVR) prompt in a second field, a translation of the IVR prompt into a different language in a third field, and a timestamp in a fourth field, identifying two revised translation data sets in the grid structure that comprise a duplicate prompt names in first fields thereof, deleting an oldest revised translation data set among the two identified translations data sets from the grid structure which has an oldest timestamp, and storing the grid structure without the deleted oldest revised translation data set in a repository.

An example operation may include one or more of transferring a copy of a plurality of revised translation data sets to be added to an IVR application into a grid structure, each revised translation data set comprising a prompt name in a first field, an IVR prompt in a second field, a translation of the IVR prompt into a different language in a third field, and a timestamp in a fourth field, executing, via a processor, an accuracy validation on the plurality of revised translation data sets, wherein, for each revised translation data set, the processor identifies whether a respective translation in a different language in a third field is an accurate translation of a respective IVR prompt in a second field based on attributes of the respective translation and the respective IVR prompt, and displaying results of the accuracy validation via a user interface.

An exemplary method for using a virtual assistant may include, at an electronic device configured to transmit and receive data, receiving a user request for a service from a virtual assistant; determining at least one task to perform in response to the user request; estimating at least one performance characteristic for completion of the at least one task with the electronic device, based on at least one heuristic; based on the estimating, determining whether to execute the at least one task at the electronic device; in accordance with a determination to execute the at least one task at the electronic device, causing the execution of the at least one task at the electronic device; in accordance with a determination to execute the at least one task outside the electronic device: generating executable code for carrying out the least one task; and transmitting the executable code from the electronic device.