Abstract: Systems and processes for providing user-specific acoustic models are provided. In accordance with one example, a method includes, at an electronic device having one or more processors, receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the electronic device; providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs; initiating a user-specific acoustic model on the electronic device; and adjusting the user-specific acoustic model based on the plurality of speech inputs and the plurality of speech results.

Abstract: Systems and processes for providing user-specific acoustic models are provided. In accordance with one example, a method includes, at an electronic device having one or more processors, receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the electronic device; providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs; initiating a user-specific acoustic model on the electronic device; and adjusting the user-specific acoustic model based on the plurality of speech inputs and the plurality of speech results.

Abstract: Systems and processes for providing user-specific acoustic models are provided. In accordance with one example, a method includes, at an electronic device having one or more processors, receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the electronic device; providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs; initiating a user-specific acoustic model on the electronic device; and adjusting the user-specific acoustic model based on the plurality of speech inputs and the plurality of speech results.

Abstract: In some implementations, a user can play a music track from a dynamically generated playlist. The user can provide input indicating that the user likes or dislikes the music track and the playlist can be adjusted based on the user input. In some implementations, information can be presented to the user so that the user can preview changes to the playlist before the changes are made to the playlist. In some implementations, a user can adjust playlist criteria (configuration) by adjusting specific music characteristics. In some implementations, a user can adjust playlist criteria by manipulating a list of representative music tracks. In some implementations, a user can compare the user's playlist to playlists of other users.

Abstract: In some implementations, a user can play a music track from a dynamically generated playlist. The user can provide input indicating that the user likes or dislikes the music track and the playlist can be adjusted based on the user input. In some implementations, information can be presented to the user so that the user can preview changes to the playlist before the changes are made to the playlist. In some implementations, a user can adjust playlist criteria (configuration) by adjusting specific music characteristics. In some implementations, a user can adjust playlist criteria by manipulating a list of representative music tracks. In some implementations, a user can compare the user's playlist to playlists of other users.

Abstract: Systems and processes for providing user-specific acoustic models are provided. In accordance with one example, a method includes, at an electronic device having one or more processors, receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the electronic device; providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs; initiating a user-specific acoustic model on the electronic device; and adjusting the user-specific acoustic model based on the plurality of speech inputs and the plurality of speech results.

Abstract: A method includes receiving a search request from a user, the search request specifying one or more search criteria for selecting one or more selection items from a respective selection domain; identifying one or more schedule items relevant to the search request; augmenting the search request based on information contained in at least one of the identified schedule items; and presenting the augmented search request or search results retrieved based on the augmented search request to the user.

Abstract: Systems and processes for providing user-specific acoustic models are provided. In accordance with one example, a method includes, at an electronic device having one or more processors, receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the electronic device; providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs; initiating a user-specific acoustic model on the electronic device; and adjusting the user-specific acoustic model based on the plurality of speech inputs and the plurality of speech results.

Abstract: Systems and processes for providing user-specific acoustic models are provided. In accordance with one example, a method includes, at an electronic device having one or more processors, receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the electronic device; providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs; initiating a user-specific acoustic model on the electronic device; and adjusting the user-specific acoustic model based on the plurality of speech inputs and the plurality of speech results.

Abstract: Systems and methods for determining ownership of an asset and providing access to alternate versions of the asset are provided. A system and method can include associating a unique identifier with an asset stored in one or more locations, receiving a request for an asset interaction, validating the request using the unique identifier, determining an asset storage location, identifying whether an enhanced version of the asset is available, and granting the request for an asset interaction when the unique identifier is validated and when the asset storage location is a local storage location. In one aspect, the asset interaction can be with an enhanced version of the asset when an enhanced version of the asset is available.

Abstract: Systems and processes for providing user-specific acoustic models are provided. In accordance with one example, a method includes, at an electronic device having one or more processors, receiving a plurality of speech inputs, each of the speech inputs associated with a same user of the electronic device; providing each of the plurality of speech inputs to a user-independent acoustic model, the user-independent acoustic model providing a plurality of speech results based on the plurality of speech inputs; initiating a user-specific acoustic model on the electronic device; and adjusting the user-specific acoustic model based on the plurality of speech inputs and the plurality of speech results.

Abstract: A non-transitory computer-readable storage medium stores one or more programs including instructions, which when executed by an electronic device of a user, cause the electronic device to generate at least one experiential data structure accessible to a virtual assistant; modify at least one experiential data structure with one or more annotations associated with the experiential data structure, utilizing the virtual assistant; store at least one experiential data structure; receive a natural-language user request for service from the virtual assistant, and output information responsive to the user request using at least one experiential data structure. The experiential data structure is a data structure that includes an organized set of data associated with at least one of the user and the electronic device at a particular point in time.

Abstract: In some implementations, a user can play a music track from a dynamically generated playlist. The user can provide input indicating that the user likes or dislikes the music track and the playlist can be adjusted based on the user input. In some implementations, information can be presented to the user so that the user can preview changes to the playlist before the changes are made to the playlist. In some implementations, a user can adjust playlist criteria (configuration) by adjusting specific music characteristics. In some implementations, a user can adjust playlist criteria by manipulating a list of representative music tracks. In some implementations, a user can compare the user's playlist to playlists of other users.

Abstract: In some implementations, a user can play a music track from a dynamically generated playlist. The user can provide input indicating that the user likes or dislikes the music track and the playlist can be adjusted based on the user input. In some implementations, information can be presented to the user so that the user can preview changes to the playlist before the changes are made to the playlist. In some implementations, a user can adjust playlist criteria (configuration) by adjusting specific music characteristics. In some implementations, a user can adjust playlist criteria by manipulating a list of representative music tracks. In some implementations, a user can compare the user's playlist to playlists of other users.

Abstract: A mobile computing device can be used to locate a vehicle parking location. In particular, the mobile device can automatically identify when a vehicle in which the mobile device is located has entered into a parked state. The mobile device can determine that the vehicle is in a parked state by analyzing one or more parameters that indicate a parked state or a transit state. The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be associated with an identifier for the current parking location.

Abstract: A mobile computing device can be used to locate a vehicle parking location in weak location signal scenarios (e.g., weak, unreliable, or unavailable GPS or other location technology). In particular, the mobile device can determine when a vehicle in which the mobile device is located has entered into a parked state. GPS or other primary location technology may be unavailable at the time the mobile device entered into a parked state (e.g., inside a parking structure). The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be determined using the first location technology as supplemented with sensor data of the mobile device. After the location of the mobile device at a time corresponding to when the vehicle is identified as being parked is determined, the determined location can be associated with an identifier for the current parking location.

Abstract: A method includes receiving a search request from a user, the search request specifying one or more search criteria for selecting one or more selection items from a respective selection domain; identifying one or more schedule items relevant to the search request; augmenting the search request based on information contained in at least one of the identified schedule items; and presenting the augmented search request or search results retrieved based on the augmented search request to the user.

Abstract: A mobile computing device can be used to locate a vehicle parking location. In particular, the mobile device can automatically identify when a vehicle in which the mobile device is located has entered into a parked state. The mobile device can determine that the vehicle is in a parked state by analyzing one or more parameters that indicate a parked state or a transit state. The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be associated with an identifier for the current parking location.

Abstract: A mobile computing device can be used to locate a vehicle parking location in weak location signal scenarios (e.g., weak, unreliable, or unavailable GPS or other location technology). In particular, the mobile device can determine when a vehicle in which the mobile device is located has entered into a parked state. GPS or other primary location technology may be unavailable at the time the mobile device entered into a parked state (e.g., inside a parking structure). The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be determined using the first location technology as supplemented with sensor data of the mobile device. After the location of the mobile device at a time corresponding to when the vehicle is identified as being parked is determined, the determined location can be associated with an identifier for the current parking location.

Abstract: Systems and methods for determining ownership of an asset and providing access to alternate versions of the asset are provided. A system and method can include associating a unique identifier with an asset stored in one or more locations, receiving a request for an asset interaction, validating the request using the unique identifier, determining an asset storage location, identifying whether an enhanced version of the asset is available, and granting the request for an asset interaction when the unique identifier is validated and when the asset storage location is a local storage location. In one aspect, the asset interaction can be with an enhanced version of the asset when an enhanced version of the asset is available.