Abstract: Techniques for providing a contextual voice user interface that enables a user to query a speech processing system with respect to the decisions made to answer the user's command are described. The speech processing system may store speech processing pipeline data used to process a command. At some point after the system outputs content deemed responsive to the command, a user may speak an utterance corresponding to an inquiry with respect to the processing performed to respond to the command. For example, the user may state “why did you tell me that?” In response thereto, the speech processing system may determine the stored speech processing pipeline data used to respond to the command, and may generate output audio data that describes the data and computing decisions involved in determining the content deemed responsive to the command.

Abstract: A method and apparatus for leveraging a distributed services system for surfacing insights for a user are described. The method may include accessing, by a computer processing system, service system data generated for a user by services of a distributed service system, the service system data including one or more values associated with one or more corresponding common entities in a data store of disambiguated service system data. The method may also include inputting the one or more values associated with the one or more corresponding common entities generated for the user into a trained machine learning model (MLM), the machine learning model trained to detect an effect of the one or more values associated with the one or more corresponding common entities on a set of metrics of interest. Furthermore, the method may include detecting, by the MLM, when there is an anomaly in a metric of interest in the set of metrics of interest.

Abstract: A method and apparatus for leveraging a distributed services system for surfacing insights for a user are described. The method may include accessing, by a computer processing system, service system data generated for a user by services of a distributed service system, the service system data including one or more values associated with one or more corresponding common entities in a data store of disambiguated service system data. The method may also include inputting the one or more values associated with the one or more corresponding common entities generated for the user into a trained machine learning model (MLM), the machine learning model trained to detect an effect of the one or more values associated with the one or more corresponding common entities on a set of metrics of interest. Furthermore, the method may include detecting, by the MLM, when there is an anomaly in a metric of interest in the set of metrics of interest.

Abstract: A method and apparatus for leveraging a distributed services system for surfacing insights for a user are described. The method may include accessing, by a computer processing system, service system data generated for a user by services of a distributed service system, the service system data including one or more values associated with one or more corresponding common entities in a data store of disambiguated service system data. The method may also include inputting the one or more values associated with the one or more corresponding common entities generated for the user into a trained machine learning model (MLM), the machine learning model trained to detect an effect of the one or more values associated with the one or more corresponding common entities on a set of metrics of interest. Furthermore, the method may include detecting, by the MLM, when there is an anomaly in a metric of interest in the set of metrics of interest.

Abstract: Techniques for providing a contextual voice user interface that enables a user to query a speech processing system with respect to the decisions made to answer the user's command are described. The speech processing system may store speech processing pipeline data used to process a command. At some point after the system outputs content deemed responsive to the command, a user may speak an utterance corresponding to an inquiry with respect to the processing performed to respond to the command. For example, the user may state “why did you tell me that?” In response thereto, the speech processing system may determine the stored speech processing pipeline data used to respond to the command, and may generate output audio data that describes the data and computing decisions involved in determining the content deemed responsive to the command.

Abstract: Techniques for providing a contextual voice user interface that enables a user to query a speech processing system with respect to the decisions made to answer the user's command are described. The speech processing system may store speech processing pipeline data used to process a command. At some point after the system outputs content deemed responsive to the command, a user may speak an utterance corresponding to an inquiry with respect to the processing performed to respond to the command. For example, the user may state “why did you tell me that?” In response thereto, the speech processing system may determine the stored speech processing pipeline data used to respond to the command, and may generate output audio data that describes the data and computing decisions involved in determining the content deemed responsive to the command.

Abstract: Techniques for providing a contextual voice user interface that enables a user to query a speech processing system with respect to the decisions made to answer the user's command are described. The speech processing system may store speech processing pipeline data used to process a command. At some point after the system outputs content deemed responsive to the command, a user may speak an utterance corresponding to an inquiry with respect to the processing performed to respond to the command. For example, the user may state “why did you tell me that?” In response thereto, the speech processing system may determine the stored speech processing pipeline data used to respond to the command, and may generate output audio data that describes the data and computing decisions involved in determining the content deemed responsive to the command.

Abstract: Techniques for providing a contextual voice user interface that enables a user to query a speech processing system with respect to the decisions made to answer the user's command are described. The speech processing system may store speech processing pipeline data used to process a command. At some point after the system outputs content deemed responsive to the command, a user may speak an utterance corresponding to an inquiry with respect to the processing performed to respond to the command. For example, the user may state “why did you tell me that?” In response thereto, the speech processing system may determine the stored speech processing pipeline data used to respond to the command, and may generate output audio data that describes the data and computing decisions involved in determining the content deemed responsive to the command.