Abstract: A system, method, and computer readable medium that facilitate user authentication via voice biometrics in a network system featuring interactive voice response system access is provided. The voice biometric authentication mechanisms alleviate identity theft occurring via specific interactive voice response transactions. A voice biometrics authentication system interfaces with an interactive network platform and may be hosted by a third party provider of voice biometric technologies.

Abstract: A method and apparatus of processing caller experiences is disclosed. One example method may include determining a call event type occurring during a call and assigning a weight to the call event type via a processing device. The method may also include calculating a caller experience metric value representing a caller's current call status responsive to determining the at least one call event type, the caller experience metric being a function of the current event type weight and a discounting variable that discounts a value of past events. The method may also provide comparing the caller experience metric to a predefined threshold value and determining whether to perform at least one of transferring the call to a live agent and switching from a current caller modality to a different caller modality.

Abstract: A method and apparatus of processing communications with end users are disclosed. One example method may include detecting a message or post on a website over the Internet that matches a monitoring company's keywords or rules and processing the message by parsing the message and performing a natural language interpretation of the message and processing the parsed message to determine the user's topic of interest. In response, the method may further provide generating a response to the message based on the user's requested objective and sending the response to the user acknowledging the user's topic of interest. Live agents may be notified to check the status of a message and continually override automated message responses to ensure the integrity of the responses.

Abstract: A method and apparatus of processing caller experiences is disclosed. One example method may include determining a call event type occurring during a call and assigning a weight to the call event type via a processing device. The method may also include calculating a caller experience metric value representing a caller's current call status responsive to determining the at least one call event type, the caller experience metric being a function of the current event type weight and a discounting variable that discounts a value of past events. The method may also provide comparing the caller experience metric to a predefined threshold value and determining whether to perform at least one of transferring the call to a live agent and switching from a current caller modality to a different caller modality.

Abstract: A system, method, and computer readable medium that facilitate user authentication via voice biometrics in a network system featuring interactive voice response system access is provided. The voice biometric authentication mechanisms alleviate identity theft occurring via specific interactive voice response transactions. A voice biometrics authentication system interfaces with an interactive network platform and may be hosted by a third party provider of voice biometric technologies.

Abstract: A method and apparatus of processing communications with end users are disclosed. One example method may include detecting a message or post on a website over the Internet that matches a monitoring company's keywords or rules and processing the message by parsing the message and performing a natural language interpretation of the message and processing the parsed message to determine the user's topic of interest. In response, the method may further provide generating a response to the message based on the user's requested objective and sending the response to the user acknowledging the user's topic of interest. Live agents may be notified to check the status of a message and continually override automated message responses to ensure the integrity of the responses.

Abstract: A method and apparatus of processing communications with end users are disclosed. One example method may include detecting a message or post on a website over the Internet that matches a monitoring company's keywords or rules and processing the message by parsing the message and performing a natural language interpretation of the message and processing the parsed message to determine the user's topic of interest. In response, the method may further provide generating a response to the message based on the user's requested objective and sending the response to the user acknowledging the user's topic of interest. Live agents may be notified to check the status of a message and continually override automated message responses to ensure the integrity of the responses.

Abstract: A method, a computer readable medium, and a system for tagging Natural language application. In the method, utterances are analyzed using one or more rules, and a tag is assigned to the analyzed utterances based on the one or more rules. The analysis of the utterances may include determining a frequency of the utterances, and grouping the utterances by their determined frequency and their assigned tag. The frequency may represent a number of occurrences in natural language where the utterances share semantic meanings, for example. Further, the one or more rules may be prioritized, and each of the utterances may be analyzed using the prioritized rules. In this manner, meaning may be assigned to utterances such that groups of utterances may be tagged simultaneously.

Abstract: A method and apparatus of processing caller experiences is disclosed. One example method may include determining a call event type occurring during a call and assigning a weight to the call event type via a processing device. The method may also include calculating a caller experience metric value representing a caller's current call status responsive to determining the at least one call event type, the caller experience metric being a function of the current event type weight and a discounting variable that discounts a value of past events. The method may also provide comparing the caller experience metric to a predefined threshold value and determining whether to perform at least one of transferring the call to a live agent and switching from a current caller modality to a different caller modality.

Abstract: A method and apparatus of processing communications with a mobile station are disclosed. One example method may include receiving a message from the mobile station and processing the message by parsing the message and performing a natural language interpretation of the message and processing the parsed message to determine the user's requested objective. In response, the method may further provide generating a response to the message based on the user's requested objective and sending the response to the mobile station acknowledging the user's requested objective. Live agents may be notified to check the status of a message and continually override automated message responses to ensure the integrity of the responses.

Abstract: A system, method, and computer readable medium that facilitate user authentication via voice biometrics in a network system featuring interactive voice response system access is provided. The voice biometric authentication mechanisms alleviate identity theft occurring via specific interactive voice response transactions. A voice biometrics authentication system interfaces with an interactive network platform and may be hosted by a third party provider of voice biometric technologies.

Abstract: A method, a computer readable medium and a system for tagging automatic speech recognition that comprises, collecting an utterance, analyzing the utterance, and assigning a tag to the analyzed utterance.

Abstract: A method, a non-transitory computer readable medium and a system for automatic speech recognition tuning management that comprises, collecting an utterance, analyzing the utterance, correlating the collected utterance to the utterance analysis, and fetching at least one of, the collected utterance, the utterance analysis, and the correlation of the collected utterance to the utterance analysis.

Abstract: A method, a computer readable medium and a system for reporting automatic speech recognition that comprises, collecting an utterance, analyzing the utterance, receiving a translation of the utterance, and determining a difference between the analyzed utterance and the translated utterance. An embodiment the disclosure includes updating the utterance analysis based upon the determined difference, correlating the analyzed utterance to the translated utterance and tracking determined difference by a translator. In another embodiment the disclose includes reporting, categorizing, sorting, and grouping the determined difference.

Abstract: A method and apparatus of processing communications with a mobile station are disclosed. One example method may include receiving a message from the mobile station and processing the message by parsing the message and performing a natural language interpretation of the message and processing the parsed message to determine the user's requested objective. In response, the method may further provide generating a response to the message based on the user's requested objective and sending the response to the mobile station acknowledging the user's requested objective. Live agents may be notified to check the status of a message and continually override automated message responses to ensure the integrity of the responses.

Abstract: A method and apparatus of processing communications with end users are disclosed. One example method may include detecting a message or post on a website over the Internet that matches a monitoring company's keywords or rules and processing the message by parsing the message and performing a natural language interpretation of the message and processing the parsed message to determine the user's topic of interest. In response, the method may further provide generating a response to the message based on the user's requested objective and sending the response to the user acknowledging the user's topic of interest. Live agents may be notified to check the status of a message and continually override automated message responses to ensure the integrity of the responses.

Abstract: A method and apparatus of processing caller experiences is disclosed. One example method may include determining a call event type occurring during a call and assigning a weight to the call event type via a processing device. The method may also include calculating a caller experience metric value representing a caller's current call status responsive to determining the at least one call event type, the caller experience metric being a function of the current event type weight and a discounting variable that discounts a value of past events. The method may also provide comparing the caller experience metric to a predefined threshold value and determining whether to perform at least one of transferring the call to a live agent and switching from a current caller modality to a different caller modality.

Abstract: A method, a computer readable medium and a system for automatic speech recognition tuning management that comprises, collecting an utterance, analyzing the utterance, correlating the collected utterance to the utterance analysis, and fetching at least one of, the collected utterance, the utterance analysis, and the correlation of the collected utterance to the utterance analysis.

Abstract: A system, method, and computer readable medium that facilitate user authentication via voice biometrics in a network system featuring interactive voice response system access is provided. The voice biometric authentication mechanisms alleviate identity theft occurring via specific interactive voice response transactions. A voice biometrics authentication system interfaces with an interactive network platform and may be hosted by a third party provider of voice biometric technologies.