Systems, methods, and devices for adaptably authenticating a user are disclosed. A device captures a user input, and sends data corresponding thereto to a system. The system determines natural language understanding (NLU) results representing the user input. A user authentication component of the system receives the NLU results and determines a skill configured to perform an action responsive to the user input. The user authentication component adaptably performs user authentication based on a user authentication condition associated with the skill. If the user can be authenticated to the satisfaction of the condition, the NLU results data are sent to the skill, along with an indicator representing the user was authenticated by the system.

A computer-implemented method, a computer system and a computer program product analyze conversations. The method includes capturing a conversation with a microphone. The conversation comprises a plurality of utterances. The method also includes converting the plurality of utterances into text data using speech recognition algorithms. A speaker is identified and associated for each of the plurality of utterances. The method further includes determining an intent of the conversation. In addition, the method includes, for each determined intent, classifying each of the plurality of utterances based on the associated speaker and a set of categories associated with each of the plurality of utterances. The method also includes determining whether each of the plurality of utterances includes information sensitive to the associated speaker. Finally, the method includes storing the utterance in response to an utterance within the plurality of utterances not including information sensitive to the associated speaker.

Described are methods and systems in which the censorship and supervision tasks normally performed by secured facility personnel are augmented or automated entirely by a Secure Nonscheduled Video Visitation System. In embodiments, the Secure Nonscheduled Video Visitation System performs voice biometrics, speech recognition, non-verbal audio classification, fingerprint and other biometric authentication, image object classification, facial recognition, body joint location determination analysis, and/or optical character recognition on the video visitation data. The Secure Nonscheduled Video Visitation utilizes these various analysis techniques in concert to determine if all rules and regulations enforced by the jurisdiction operation the secured facility are being followed by the parties to the video visitation session.

Described are methods and systems in which the censorship and supervision tasks normally performed by secured facility personnel are augmented or automated entirely by a Secure Nonscheduled Video Visitation System. In embodiments, the Secure Nonscheduled Video Visitation System performs voice biometrics, speech recognition, non-verbal audio classification, fingerprint and other biometric authentication, image object classification, facial recognition, body joint location determination analysis, and/or optical character recognition on the video visitation data. The Secure Nonscheduled Video Visitation utilizes these various analysis techniques in concert to determine if all rules and regulations enforced by the jurisdiction operation the secured facility are being followed by the parties to the video visitation session.

A method at an electronic device with one or more microphones and a speaker includes receiving a first voice input; comparing the first voice input to one or more voice models; based on the comparing, determining whether the first voice input corresponds to any of a plurality of occupants, and according to the determination, authenticating an occupant and presenting a response, or restricting functionality of the electronic device.

A method at an electronic device with one or more microphones and a speaker includes receiving a first voice input; comparing the first voice input to one or more voice models; based on the comparing, determining whether the first voice input corresponds to any of a plurality of occupants, and according to the determination, authenticating an occupant and presenting a response, or restricting functionality of the electronic device.

Methods and systems may incorporate voice interaction and other audio interaction to facilitate access to prescription related information and processes. Particularly, voice/audio interactions may be utilized to achieve authentication to access prescription-related information and action capabilities. Additionally, voice/audio interactions may be utilized in performance of processes such as obtaining prescription refills and receiving reminders to consume prescription products.

An interaction information processing method and apparatus, an electronic device and a storage medium are provided. The method comprises: generating an interaction information record based on interaction behavior data of users in an interaction process conducted by the users on a real-time interactive interface; selecting, from the interaction information record, target interaction information that satisfies a target selection condition; and displaying the target interaction information in a target area of the real-time interactive interface distinctively from other interaction information elements in the interaction information record, wherein the target interaction information is one or more interaction information elements in the interaction information record.

An interaction information processing method and apparatus, an electronic device and a storage medium are provided. The method comprises: generating an interaction information record based on interaction behavior data of users in an interaction process conducted by the users on a real-time interactive interface; selecting, from the interaction information record, target interaction information that satisfies a target selection condition; and displaying the target interaction information in a target area of the real-time interactive interface distinctively from other interaction information elements in the interaction information record, wherein the target interaction information is one or more interaction information elements in the interaction information record.

A speaker identification apparatus that identifies a speaker of utterance data indicating a voice of an utterance subjected to identification includes: an emotion estimator that estimates, from an acoustic feature value calculated from the utterance data, an emotion contained in the voice of the utterance indicated by the utterance data, using a trained deep neural network (DNN); and a speaker identification processor that outputs, based on the acoustic feature value calculated from the utterance data, a score for identifying the speaker of the utterance data, using an estimation result of the emotion estimator.