Abstract: This is directed to processing voice inputs received by an electronic device, and more specifically to receiving a voice input and identifying the user providing the voice input. The voice input can be processed using a subset of words from a library used to identify the words or phrases of the voice input. The subset can be selected such that voice inputs provided by the user are more likely to include words from the subset. The subset of the library can be selected using any suitable approach, including based on the user's interests and words that relate to those interests. For example, the subset can include one or more words related to media items selected by the user for storage on the electronic device, names of the user's contacts, applications or processes used by the user, or any other words relating to the user's interactions with the device.

Abstract: Systems and methods for generating and using performance metadata associated with a media piece (e.g., music or video) are provided. An electronic device can monitor a user's workout performance while playing a particular media piece. Workout performance may include the user's rate of motion and/or one or more physiological metrics of the user. Based on the user's workout performance, the electronic device can create new or modify existing performance metadata associated with the media piece. In some embodiments, the performance metadata based on a particular user's workout performance in response to a media piece may be combined with collective performance metadata based on the workout performances of multiple users in response to the media piece. The combined performance metadata may then be stored as new collective metadata. Accordingly, the collective performance metadata can represent the average response to a media piece over multiple users.

Abstract: This is directed to processing voice inputs received by an electronic device. In particular, this is directed to receiving a voice input and identifying the user providing the voice input. The voice input can be processed using a subset of words from a library used to identify the words or phrases of the voice input. The particular subset can be selected such that voice inputs provided by the user are more likely to include words from the subset. The subset of the library can be selected using any suitable approach, including for example based on the user's interests and words that relate to those interests. For example, the subset can include one or more words related to media items selected by the user for storage on the electronic device, names of the user's contacts, applications or processes used by the user, or any other words relating to the user's interactions with the device.

Abstract: This is directed to processing voice inputs received by an electronic device. In particular, this is directed to receiving a voice input and identifying the user providing the voice input. The voice input can be processed using a subset of words from a library used to identify the words or phrases of the voice input. The particular subset can be selected such that voice inputs provided by the user are more likely to include words from the subset. The subset of the library can be selected using any suitable approach, including for example based on the user's interests and words that relate to those interests. For example, the subset can include one or more words related to media items selected by the user for storage on the electronic device, names of the user's contacts, applications or processes used by the user, or any other words relating to the user's interactions with the device.

Abstract: This is directed to processing voice inputs received by an electronic device. In particular, this is directed to receiving a voice input and identifying the user providing the voice input. The voice input can be processed using a subset of words from a library used to identify the words or phrases of the voice input. The particular subset can be selected such that voice inputs provided by the user are more likely to include words from the subset. The subset of the library can be selected using any suitable approach, including for example based on the user's interests and words that relate to those interests. For example, the subset can include one or more words related to media items selected by the user for storage on the electronic device, names of the user's contacts, applications or processes used by the user, or any other words relating to the user's interactions with the device.

Abstract: A media device including a broadcast receiver that receives broadcast media from a plurality of broadcast sources where the broadcast receiver is tunable to a first broadcast source. The media device also includes a data store that stores a list of contact identifiers where each contact identifier is associated with a broadcast source. The media device includes a user interface that: i) provides a prompt to a user to enable the user to initiate contact with the first broadcast source, and ii) receives a user indication to initiate contact with the first broadcast source. The media device further includes a transceiver that initiates the contact with the first broadcast source by sending a communications session request via a communications network to the first broadcast source that includes a contact identifier associated with the first broadcast source.

Abstract: An accessory having an RF tuner for digital radio, such as HD radio, can be in communication with a media player such as a portable media device (“PMD”). The user can be given the ability to command the accessory to provide raw digital data, the ability to scan only for stations having digital audio content (or for all available stations), the ability to provide station lists of stations having digital audio content (or all available stations), and the ability to request and store metadata beyond that for stations actually being listened to provide enhanced search capabilities. Enhanced metadata and searching can provide the listener the ability to refine station choices without having to listen at length to any particular station, and further can facilitate tagging broadcast tracks for subsequent access and/or purchase.

Abstract: The present disclosure generally relates to systems and methods for processing received voice inputs for user identification. In an example process, voice input can be processed using a subset of words from a library used to identify the words or phrases of the voice input. The subset can be selected such that voice inputs provided by the user are more likely to include words from the subset. The subset of the library can be selected using any suitable approach, including for example based on the user's interests and words that relate to those interests. For example, the subset can include one or more words related to media items stored by the user on the electronic device, names of the user's contacts, applications or processes used by the user, or any other words relating to the user's interactions with the device.

Abstract: Systems and methods are provided that allow steps to be counted in multiple pedometer modes. For example, a pedometer application on an electronic device can count steps in an ambient mode of operation and a session mode of operation. By maintaining separate counters for each pedometer mode and continuously monitoring the desired mode of operation, the pedometer application can accurately count the number of steps during a certain time period. In response to detecting a change in the desired mode, the pedometer application can seamlessly switch to the corresponding mode counter. In some embodiments, the pedometer application can display graphical representations of historical step information for one or more pedometer modes.

Abstract: This is directed to processing voice inputs received by an electronic device. In particular, this is directed to receiving a voice input and identifying the user providing the voice input. The voice input can be processed using a subset of words from a library used to identify the words or phrases of the voice input. The particular subset can be selected such that voice inputs provided by the user are more likely to include words from the subset. The subset of the library can be selected using any suitable approach, including for example based on the user's interests and words that relate to those interests. For example, the subset can include one or more words related to media items selected by the user for storage on the electronic device, names of the user's contacts, applications or processes used by the user, or any other words relating to the user's interactions with the device.

Abstract: Systems and methods are provided that allow steps to be counted in multiple pedometer modes. For example, a pedometer application on an electronic device can count steps in an ambient mode of operation and a session mode of operation. By maintaining separate counters for each pedometer mode and continuously monitoring the desired mode of operation, the pedometer application can accurately count the number of steps during a certain time period. In response to detecting a change in the desired mode, the pedometer application can seamlessly switch to the corresponding mode counter. In some embodiments, the pedometer application can display graphical representations of historical step information for one or more pedometer modes.

Abstract: Systems and methods are provided that allow steps to be counted in multiple pedometer modes. For example, a pedometer application on an electronic device can count steps in an ambient mode of operation and a session mode of operation. By maintaining separate counters for each pedometer mode and continuously monitoring the desired mode of operation, the pedometer application can accurately count the number of steps during a certain time period. In response to detecting a change in the desired mode, the pedometer application can seamlessly switch to the corresponding mode counter. In some embodiments, the pedometer application can display graphical representations of historical step information for one or more pedometer modes.

Abstract: This is directed to processing voice inputs received by an electronic device. In particular, this is directed to receiving a voice input and identifying the user providing the voice input. The voice input can be processed using a subset of words from a library used to identify the words or phrases of the voice input. The particular subset can be selected such that voice inputs provided by the user are more likely to include words from the subset. The subset of the library can be selected using any suitable approach, including for example based on the user's interests and words that relate to those interests. For example, the subset can include one or more words related to media items selected by the user for storage on the electronic device, names of the user's contacts, applications or processes used by the user, or any other words relating to the user's interactions with the device.

Abstract: Systems and methods are provided for monitoring a user's progress towards a workout goal spanning multiple workouts and providing a workout reminder based on the progress. An electronic device can monitor the user's progress towards the goal by monitoring the user's rate of motion and/or one or more physiological parameters of the user. Based on the user's progress towards the goal, the electronic device can provide a workout reminder. For example, if a user's progress is not sufficient to achieve the workout goal, the electronic device may provide a reminder to the user. The reminder can include a visual and/or audio alert to the user, and the reminder may interrupt other functions on the device.

Abstract: Systems and methods are provided for monitoring a user's progress towards a workout goal spanning multiple workouts and providing a workout reminder based on the progress. An electronic device can monitor the user's progress towards the goal by monitoring the user's rate of motion and/or one or more physiological parameters of the user. Based on the user's progress towards the goal, the electronic device can provide a workout reminder. For example, if a user's progress is not sufficient to achieve the workout goal, the electronic device may provide a reminder to the user. The reminder can include a visual and/or audio alert to the user, and the reminder may interrupt other functions on the device.

Abstract: An accessory having an RF tuner for digital radio, such as HD radio, can be in communication with a media player such as a portable media device (“PMD”). The user can be given the ability to command the accessory to provide raw digital data, the ability to scan only for stations having digital audio content (or for all available stations), the ability to provide station lists of stations having digital audio content (or all available stations), and the ability to request and store metadata beyond that for stations actually being listened to provide enhanced search capabilities. Enhanced metadata and searching can provide the listener the ability to refine station choices without having to listen at length to any particular station, and further can facilitate tagging broadcast tracks for subsequent access and/or purchase.

Abstract: An accessory having an RF tuner for digital radio, such as HD radio, can be in communication with a media player such as a portable media device (“PMD”). The user can be given the ability to command the accessory to provide raw digital data, the ability to scan only for stations having digital audio content (or for all available stations), the ability to provide station lists of stations having digital audio content (or all available stations), and the ability to request and store metadata beyond that for stations actually being listened to provide enhanced search capabilities. Enhanced metadata and searching can provide the listener the ability to refine station choices without having to listen at length to any particular station, and further can facilitate tagging broadcast tracks for subsequent access and/or purchase.

Abstract: A media device including a broadcast receiver that receives broadcast media from a plurality of broadcast sources where the broadcast receiver is tunable to a first broadcast source. The media device also includes a data store that stores a list of contact identifiers where each contact identifier is associated with a broadcast source. The media device includes a user interface that: i) provides a prompt to a user to enable the user to initiate contact with the first broadcast source, and ii) receives a user indication to initiate contact with the first broadcast source. The media device further includes a transceiver that initiates the contact with the first broadcast source by sending a communications session request via a communications network to the first broadcast source that includes a contact identifier associated with the first broadcast source.

Abstract: Systems and methods for generating and using performance metadata associated with a media piece (e.g., music or video) are provided. An electronic device can monitor a user's workout performance while playing a particular media piece. Workout performance may include the user's rate of motion and/or one or more physiological metrics of the user. Based on the user's workout performance, the electronic device can create new or modify existing performance metadata associated with the media piece. In some embodiments, the performance metadata based on a particular user's workout performance in response to a media piece may be combined with collective performance metadata based on the workout performances of multiple users in response to the media piece. The combined performance metadata may then be stored as new collective metadata Accordingly, the collective performance metadata can represent the average response to a media piece over multiple use.

Abstract: Systems and methods for generating and using performance metadata associated with a media piece (e.g., music or video) are provided. An electronic device can monitor a user's workout performance while playing a particular media piece. Workout performance may include the user's rate of motion and/or one or more physiological metrics of the user. Based on the user's workout performance, the electronic device can create new or modify existing performance metadata associated with the media piece. In some embodiments, the performance metadata based on a particular user's workout performance in response to a media piece may be combined with collective performance metadata based on the workout performances of multiple users in response to the media piece. The combined performance metadata may then be stored as new collective metadata. Accordingly, the collective performance metadata can represent the average response to a media piece over multiple users.