Abstract: A method for a speech response system to automatically transfer users to human agents. The method can establish an interactive dialog session between a user and an automated speech response system. An error score can be established when the interactive dialog session is initiated. During the interactive dialog session, responses to dialog prompts can be received. Error weights can be assigned to receive responses determined to be non-valid responses. Different non-valid responses can be assigned different error weights. For each non-valid response, the assigned error weight can be added to the error score. When a value of the error score exceeds a previously established error threshold, a user can be automatically transferred from the automated speech response system to a human agent.

Abstract: A system and methods are provided for conducting an interactive dialog via a speech-based user interface. The system includes an auditory prompt module for generating a sequence of goal-directed auditory prompts based upon a pre-determined user-oriented task, and an error recovery module for responding to a communication error by initiating an error recovery based upon a user response to the sequence of goal-directed auditory prompts. The error recovery includes providing at least one error-recovery prompt selected from a hierarchy of error-recovery prompts, the selection based upon a hierarchy of communication error types.

Abstract: A call completion system, method and apparatus for integrated directory assistance and voice activated dialing based upon call transfer rules. In accordance with the present invention, a call completion system can include a set of call transfer rules implicating one of a directory assistance interface and a voice activated dialer interface. The system further can include a call completion processor configured to select one of a directory assistance interface and a voice activated dialer interface based upon an evaluation of the call transfer rules for an incoming query.

Abstract: A method (50) of dynamically changing a sentence structure of a message can include the step of receiving (51) a user request for information, retrieving (52) data based on the information requested, and altering (53) among an intonation and/or the language conveying the information based on the context of the information to be presented. The intonation can optionally be altered by altering (54) a volume, a speed, and/or a pitch based on the information to be presented. The language can be altered by selecting (55) among a finite set of synonyms based on the information to be presented to the user or by selecting (56) among key verbs, adjectives or adverbs that vary along a continuum.

Abstract: A method, system and apparatus for caller independent disambiguation for interactive voice response (IVR) systems. A caller-independent disambiguation method for use in an IVR system can include sorting a set of matching records according to counter values associated with corresponding ones of the records. The counter values can indicate a number of times that a corresponding one of the matching records had previously been selected by other callers without regard to any specific caller. The method further can include audibly presenting the sorted set in sequence through the IVR system. Finally, the method can include accepting a selection of a specific record in the set.

Abstract: A method, a system, and an apparatus for efficiently presenting correction options. The present invention is capable of analyzing user voice commands and sorting multiple input requests based on user selection probability to determine whether a confirmation step should be presented and, if so, the manner in which the confirmation step should be presented. In particular, the method requests an information input from the user and then assigns a confidence level to the information input. If the confidence level is LOW, then the system performs an immediate confirmation step. If the confidence level assigned is MEDIUM or HIGH, then the information is placed into a data set that is confirmed in a batch confirmation step. The batch confirmation step presents the captured information to the user for confirmation. If any of the information is incorrect, then the method sorts the information in ascending order by confidence level and creates a menu of items that may be changed. The user then makes the change.