Abstract: A system and method of targeted tuning of a speech recognition system are disclosed. A particular method includes detecting that a frequency of occurrence of a particular type of utterance satisfies a threshold. The method further includes tuning a speech recognition system with respect to the particular type of utterance.

Abstract: Systems and methods for processing audio are provided. The system may include a processor to convert an audio input received via a call to text. The processor may perform a comparison between a portion of the text to one or more phrases included in a table. The processor may also make a selection of at least one of a first object or a first action based on the comparison. The processor may further route the call based on the at least one of the first object or the first action.

Abstract: A method of designing a customer interface for a service center, such as an automated speech recognition (ASR) self-service center. Customer activity to an existing service center is monitored, providing customer model, which includes a collection of customer tasks. These tasks are assigned to action-object pairs, which are further assigned to routing destinations. Dialog modules are designed, based on the customer model data, including disambiguation dialogs.

Abstract: Systems and methods for processing audio are provided. The system may include a processor to convert an audio input received via a call to text. The processor may perform a comparison between a portion of the text to one or more phrases included in a table. The processor may also make a selection of at least one of a first object or a first action based on the comparison.

Abstract: Systems and methods for processing audio are provided. The system may include a processor to convert an audio input received via a call to text. The processor may perform a comparison between a portion of the text to one or more phrases included in a table. The processor may also make a selection of at least one of a first object or a first action based on the comparison. The processor may further route the call based on the at least one of the first object or the first action.

Abstract: In a particular embodiment, a method includes determining, at a processor, a first destination based on a communication associated with a source, wherein an account is associated with the source. The method further includes determining a storage value associated with the account, wherein the storage value is associated with an amount of available storage associated with the account. The method further includes routing the communication based on a comparison of the storage value to a threshold.

Abstract: A system, method and software for implementing an automated call routing application in a speech enabled call center environment are provided. In operation, the invention provides for the identification of a call center transaction selection from a natural language user utterance and the invocation of one or more scripts operable to route the user to a call center service agent configured to service the selected transaction. In the event a transaction selection cannot be readily identified or can only be partially identified, the invention provides for the initiation of a dialog module or script directed to eliciting a discernable transaction selection and/or the presentation of one or more menus from which the user may select an available call center transaction.

Abstract: A method is disclosed that includes retrieving first data associated with a call from an action-object table. The method further includes retrieving second data from a resolution table based on the first data. The second data indicates a treatment type to be provided to the call. The method further includes, in response to determining that the treatment type indicates a particular treatment type, servicing the call with the particular treatment type. The particular treatment type includes routing the call to a destination associated with a call center.

Abstract: In a particular embodiment, a method includes determining, at a processor, a first destination based on a communication associated with a source, wherein an account is associated with the source. The method further includes determining a storage value associated with the account, wherein the storage value is associated with an amount of available storage associated with the account. The method further includes routing the communication based on a comparison of the storage value to a threshold.

Abstract: A method of designing a customer interface for a service center, such as an automated speech recognition (ASR) self-service center. Customer activity to an existing service center is monitored, providing customer model, which includes a collection of customer tasks. These tasks are assigned to action-object pairs, which are further assigned to routing destinations. Dialog modules are designed, based on the customer model data, including disambiguation dialogs.

Abstract: In a particular embodiment, a method includes receiving a communication from a source. The communication is associated with an account of the source. The method further includes determining, at a processor, whether a time period satisfies a threshold time period. The time period is associated with a voice message box having a particular status. The method further includes routing the communication to a first destination based on a determination that the time period satisfies the threshold time period.

Abstract: A system and method of targeted tuning of a speech recognition system are disclosed. A particular method includes detecting that a frequency of occurrence of a particular type of utterance satisfies a threshold. The method further includes tuning a speech recognition system with respect to the particular type of utterance.

Abstract: A system and method for automated customer feedback allows for automatically collecting and analyzing customer feedback data regarding customer satisfaction and customer task completion with respect to self-service applications and live agents. When contacting a customer service center, customers provide one or more customer tasks. The customers are routed within the customer service center based on the customer task and/or one or more customer characteristics. While interacting with the customer service center, the customers are automatically asked one or more specific survey questions relating to the customers' interaction with the customer service center and the customers' satisfaction levels. The customers provide one or more survey responses to the survey questions. The survey responses are recorded and analyzed in order to modify and update the customer service center and the survey questions in order to increase customer satisfaction and increase customer task completion.

Abstract: A method of designing a customer interface for a service center, such as an automated speech recognition (ASR) self-service center. Customer activity to an existing service center is monitored, providing customer model, which includes a collection of customer tasks. These tasks are assigned to action-object pairs, which are further assigned to routing destinations. Dialog modules are designed, based on the customer model data, including disambiguation dialogs.

Abstract: A system and method of targeted tuning of a speech recognition system are disclosed. A particular method includes detecting that a frequency of occurrence of a particular type of utterance satisfies a threshold. The method further includes tuning a speech recognition system with respect to the particular type of utterance.

Abstract: A system, method and software for facilitating a speech-enabled call routing application using an action-object matrix is disclosed. In operation, a natural language user utterance may be evaluated to identify an action and object available in an action-object matrix indicating transactions or operations available to a user. Depending upon the contents of the natural language user utterance, additional prompts and/or a disambiguation dialogue may be effected to elicit an available action-object combination selection from the user. Following identification of an action-object combination from the natural language user utterance, the action-object matrix may cooperate with a look-up table to identify an appropriate use routing destination. Following identification of an appropriate routing destination, the user connection may be routed to a service agent or module configured to facilitate the user selected transaction as indicated by the action-object combination.

Abstract: A computer-readable storage device stores instructions that, when executed by a processor, cause the processor to perform operations including prompting a caller during a call for an order identifier. The order identifier identifies a pending order. The operations also include prompting the caller to provide a reason for the call. The operations further include transferring the call to an automated check order status system in response to receiving an indication that the reason for the call is to obtain an order status associated with the pending order. The operations also include, in response to receiving an indication that the order status is not locatable, automatically transferring the call to a customer service agent.

Abstract: A system and method for automated customer feedback allows for automatically collecting and analyzing customer feedback data regarding customer satisfaction and customer task completion with respect to self-service applications and live agents. When contacting a customer service center, customers provide one or more customer tasks. The customers are routed within the customer service center based on the customer task and/or one or more customer characteristics. While interacting with the customer service center, the customers are automatically asked one or more specific survey questions relating to the customers' interaction with the customer service center and the customers' satisfaction levels. The customers provide one or more survey responses to the survey questions. The survey responses are recorded and analyzed in order to modify and update the customer service center and the survey questions in order to increase customer satisfaction and increase customer task completion.

Abstract: A method includes accessing information associated with a call at an attendant interaction module. The call is associated with a task. The information associated with the call includes a first action object identifier, a first result identifier, and a first reason identifier. The first action object identifier is associated with the task, the first result identifier indicates a status of the task, and the first reason identifier includes information related to the first result identifier. The method includes generating an attendant interaction signal subsequent to receiving the information associated with the call.

Abstract: In a particular embodiment, a method includes receiving a communication from a source. The communication is associated with an account of the source. The method further includes determining, at a processor, whether a time period satisfies a threshold time period. The time period is associated with a voice message box having a particular status. The method further includes routing the communication to a first destination based on a determination that the time period satisfies the threshold time period.