Abstract: Methods and systems for providing message playback using a shared electronic device is described herein. In response to receiving a request to output messages, a speech-processing system may determine a group account associated with a requesting device, and may determine messages stored by a message data store for the group account. Speaker identification processing may also be performed to determine a speaker of the request. A user account associated with the speaker, and messages stored for the user account, may be determined. A summary response indicating the user account's messages and the group account's message may then be generated such that the user account messages are identified prior to the group account's messages. The messages may then be analyzed to determine an appropriate voice user interface for the requester such that the playback of the messages using a shared electronic device is more natural and conversational.

Abstract: Methods and systems for prioritizing messages for playback are described herein. In some embodiments, a request for messages to be output may be received by a speech-processing system. The speech-processing system may include a message database that includes messages received for a speaker of the request's user account and/or a group account associated with a shared electronic device that the request was received from. One or more prioritization rules may be applied to the messages to order the messages for playback in order to provide an optimal voice user interface for the requesting individual. For instance, messages received for the user account may be prioritized over messages received for the group account, messages received from a similar sender or a high priority sender may be prioritized over other messages, and messages that are indicating as being urgent may be prioritized over messages that are indicated as being non-urgent.

Abstract: Methods and systems for providing message playback using a shared electronic device is described herein. In response to receiving a request to output messages, a speech-processing system may determine a group account associated with a requesting device, and may determine messages stored by a message data store for the group account. Speaker identification processing may also be performed to determine a speaker of the request. A user account associated with the speaker, and messages stored for the user account, may be determined. A summary response indicating the user account's messages and the group account's message may then be generated such that the user account messages are identified prior to the group account's messages. The messages may then be analyzed to determine an appropriate voice user interface for the requester such that the playback of the messages using a shared electronic device is more natural and conversational.

Abstract: Methods and systems for redirecting messages based on contextual information associated with the messages are described herein. In some embodiments, a first individual may speak an utterance including a message, where the utterance indicates a first recipient for the message. Audio data representing the utterance may be provided to a speech-processing system, which may performed automatic speech recognition processing, natural language understanding processing, and contextual recognition processing to the audio data. In some embodiments, the contextual recognition processing may determine that the message may be intended for a second recipient. If so, the speech-processing system may cause the message to be redirected to the second recipient, such that the second recipient may receive the message as opposed to the first recipient.

Abstract: Systems and methods for sender profile and/or recipient profile disambiguation and/or confirmation are disclosed. In instances where a sender profile is not indicated by a user sending a communication from a communal device, heuristic data may be utilized to infer the sender profile. Similar heuristic data may also be used when selection of the sender profile is associated with a low confidence level. Heuristic data may also be used to infer the recipient profile when the user does not indicate the recipient profile or when selection of the recipient profile is associated with a low confidence. Various confirmations may result from the sender and recipient profile disambiguation.

Abstract: Methods and systems for performing contact resolution are described herein. When initiating a communications session using a voice activated electronic device, a contact name may be resolved to determine an appropriate contact with which the communications session may be directed to. Contacts from an individual's contact list may be queried to determine a listing of probable contacts associated with the contact name, and contact identifiers associated with the contact may be determined. Using one or more rules for disambiguating between similar contact names, a single contact may be identified, and a communications session with that contact may be initiated.

Abstract: Features are disclosed for performing functions in response to user requests based on contextual data regarding prior user requests. Users may engage in conversations with a computing device in order to initiate some function or obtain some information. A dialog manager may manage the conversations and store contextual data regarding one or more of the conversations. Processing and responding to subsequent conversations may benefit from the previously stored contextual data by, e.g., reducing the amount of information that a user must provide if the user has already provided the information in the context of a prior conversation. Additional information associated with performing functions responsive to user requests may be shared among applications, further improving efficiency and enhancing the user experience.

Abstract: Features are disclosed for performing functions in response to user requests based on contextual data regarding prior user requests. Users may engage in conversations with a computing device in order to initiate some function or obtain some information. A dialog manager may manage the conversations and store contextual data regarding one or more of the conversations. Processing and responding to subsequent conversations may benefit from the previously stored contextual data by, e.g., reducing the amount of information that a user must provide if the user has already provided the information in the context of a prior conversation. Additional information associated with performing functions responsive to user requests may be shared among applications, further improving efficiency and enhancing the user experience.

Abstract: A speech recognition platform configured to receive an audio signal that includes speech from a user and perform automatic speech recognition (ASR) on the audio signal to identify ASR results. The platform may identify: (i) a domain of a voice command within the speech based on the ASR results and based on context information associated with the speech or the user, and (ii) an intent of the voice command. In response to identifying the intent, the platform may perform multiple actions corresponding to this intent. The platform may select a target action to perform, and may engage in a back-and-forth dialog to obtain information for completing the target action. The action may include streaming audio to the device, setting a reminder for the user, purchasing an item on behalf of the user, making a reservation for the user or launching an application for the user.

Abstract: Features are disclosed for recognizing inappropriate content in an output. The offensive content may be generated as a result of a speech processing error. A system may identify the inappropriate elements of a generated output and select among different appropriate alternatives. The system may be adjusted based on certain user characteristics. The system may be localized based on language and cultural features. The system may modify the generated output based on characteristics such as the tolerance threshold of known persons in the proximity of the system. The tolerance threshold may further be used to personalize and modify available content. Models used by the system may be further trained using input from a user.

Abstract: Natural language controlled devices may be implemented in an environment where the devices are configured to operate with multiple different users. The techniques described herein implement security requirements for a device configured to operate in an environment where the multiple different users may request functionality. The security requirements may be implemented based on the whether the functionality requested is personal and/or secured.