A system and method for authenticating a user via a single voice audio input is disclosed. The method includes obtaining voice audio from a user, converting the voice audio to text, comparing at least a portion of the text to a database, determining whether a user profile exists in the database based on the comparing, the user profile including a voiceprint, in response to determining that the user profile exists in the database, analyzing the voice audio against the voiceprint of the user profile; and authenticating the user based on the voice audio substantially matching the voiceprint of the user profile.

In-ear sound pressure level, SPL, is determined that is caused by output audio being converted into sound by a headset worn by a user. The in-ear SPL is converted into a sound sample having units that are suitable for evaluating sound noise exposure. These operations are repeated to produce a sequence of sound samples during playback. This sequence of sound samples is then written to a secure database. Access to the database is authorized by the user. Other aspects are also described and claimed.

A computer-implemented method and system for managing media content in a playback queue. A processing system receives a plurality of data samples generated from a media application in a user device for a plurality of media files, where the plurality of data samples may be based on a plurality of contextual features associated with a a user's interaction with a least one media file of the plurality of media files. The plurality of contextual features can be collected utilizing at least one sensing module in communication with the user device. Further, one or more of the data samples can be associated with an affinity measure indicative of a user's interaction with at least one of the plurality of media files.

The present disclosure relates to a system and a processing method in association with the system for customizing audio experience. Customization of audio experience can be based on derivation of at least one customized audio response characteristic which can be applied to an audio device used by a person. The customized audio response characteristic(s) can be unique to the person.

Improved approaches for media listening amongst different users are disclosed. For example, methods, systems or computer program code can enable users to have a remote listening experience in real time. Advantageously, a remote user at a remote client device can in effect listen to a particular digital media asset that is being played at a local client device of a local user. Media information and/or user profiles can also be provided about themselves and shared with other users.

A method for retrieving information includes detecting a first neural activity of a user, wherein the first neural activity corresponds to a key thought of the user; in response to detecting the first neural activity, generating a search query based on speech occurring prior to detecting the first neural activity; retrieving information based on the search query; and transmitting the information to one or more output devices.

Methods and apparatuses for athletic training optimization are disclosed. In one example, a fitness level change is identified. In one example, a current training intensity is updated to reflect an updated user fitness level.

In some implementations, an utterance is determined to include a particular user speaking a hotword based at least on a first set of samples of the particular user speaking the hotword. In response to determining that an utterance includes a particular user speaking a hotword based at least on a first set of samples of the particular user speaking the hotword, at least a portion of the utterance is stored as a new sample. A second set of samples of the particular user speaking the utterance is obtained, where the second set of samples includes the new sample and less than all the samples in the first set of samples. A second utterance is determined to include the particular user speaking the hotword based at least on the second set of samples of the user speaking the hotword.

Introduced here are approaches to authenticating the identity of speakers based on the “liveness” of the input. To prevent spoofing, an authentication platform may establish the likelihood that a voice sample represents a recording of word(s) uttered by a speaker whose identity is to be authenticated and then, based on the likelihood, determine whether to authenticate the speaker.

Methods, apparatus, systems, and articles of manufacture are disclosed that involve a user profile based on clustering tiered descriptors. An example apparatus includes means for grouping descriptors into a cluster of descriptors based on an association between the descriptors and each of a first item and a second item, means for accessing biometric data of a user, means for determining a first activity in which the user is engaged based on contextual data that correlates the cluster of descriptors with the biometric data of the user received from the user device via the network, the means for determining to determine whether the first activity represents an anomalous phase of the user based on a time period of the first activity having a shorter duration than a threshold duration, means for generating, in response to determining that the first activity does not represent the anomalous phase of the user, a user profile based on the first activity of the user and the cluster of descriptors, the means for generating to, in response to determining that the first activity represents the anomalous phase of the user, omit a name of the cluster descriptors from the user profile to reduce the size of the profile, and the generating means to, in response to a second activity of the user matching the first activity associated with the cluster of descriptors within the user profile, generate a recommendation including a third item based on the user profile.