Abstract: A system for processing voice responses is disclosed. The system is configured to store a correlation table identifying relationships between self-service routines, tags, and corresponding actions. The system receives a call from a user and issues a query in response to the call. The system receives an utterance from the user in response to the user and determines whether the utterance matches a pre-defined response. If there is no match, the system analyzes the utterance with a pre-defined statistical language model and identifies a service tag for the utterance. The system then associates the utterance with the service tag and a self-service routine that is associated with the call. The system identifies an action from the correlation table that correlates to the service tag and the self-service routine.

Abstract: A system for processing voice responses is disclosed. The system is configured to store a correlation table identifying relationships between self-service routines, tags, and corresponding actions. The system receives a call from a user and issues a query in response to the call. The system receives an utterance from the user in response to the user and determines whether the utterance matches a pre-defined response. If there is no match, the system analyzes the utterance with a pre-defined statistical language model and identifies a service tag for the utterance. The system then associates the utterance with the service tag and a self-service routine that is associated with the call. The system identifies an action from the correlation table that correlates to the service tag and the self-service routine.

Abstract: A system for processing voice responses is disclosed. The system is configured to store a correlation table identifying relationships between self-service routines, tags, and corresponding actions. The system receives a call from a user and issues a query in response to the call. The system receives an utterance from the user in response to the user and determines whether the utterance matches a pre-defined response. If there is no match, the system analyzes the utterance with a pre-defined statistical language model and identifies a service tag for the utterance. The system then associates the utterance with the service tag and a self-service routine that is associated with the call. The system identifies an action from the correlation table that correlates to the service tag and the self-service routine.

Abstract: A system for processing voice responses is disclosed. The system is configured to store a correlation table identifying relationships between self-service routines, tags, and corresponding actions. The system receives a call from a user and issues a query in response to the call. The system receives an utterance from the user in response to the user and determines whether the utterance matches a pre-defined response. If there is no match, the system analyzes the utterance with a pre-defined statistical language model and identifies a service tag for the utterance. The system then associates the utterance with the service tag and a self-service routine that is associated with the call. The system identifies an action from the correlation table that correlates to the service tag and the self-service routine.

Abstract: A system for processing voice responses is disclosed. The system is configured to store a correlation table identifying relationships between self-service routines, tags, and corresponding actions. The system receives a call from a user and issues a query in response to the call. The system receives an utterance from the user in response to the user and determines whether the utterance matches a pre-defined response. If there is no match, the system analyzes the utterance with a pre-defined statistical language model and identifies a service tag for the utterance. The system then associates the utterance with the service tag and a self-service routine that is associated with the call. The system identifies an action from the correlation table that correlates to the service tag and the self-service routine.

Abstract: Systems, methods, and computer readable media for providing a customer service system are provided. In some examples, the customer service system may include a telephone interface and may recognize both speech responses (e.g., voice commands) and/or touch tone responses. The system may include one or more rules for identifying options based on received user input. In some examples, the options provided based on touch tone input may be different from those based on received speech input. In some examples, the speech responses may be determined to meet a confidence threshold in order to progress to the next menu level or set of options. The confidence threshold may be adjusted and/or may be different or customizable for different menu options, levels, and the like.

Abstract: Systems, methods, and computer readable media for providing a customer service system are provided. In some examples, the customer service system may include a telephone interface and may recognize both speech responses (e.g., voice commands) and/or touch tone responses. The system may include one or more rules for identifying options based on received user input. In some examples, the options provided based on touch tone input may be different from those based on received speech input. In some examples, the speech responses may be determined to meet a confidence threshold in order to progress to the next menu level or set of options. The confidence threshold may be adjusted and/or may be different or customizable for different menu options, levels, etc.