Abstract: A sleep monitoring application is installed on a mobile device. The mobile device is placed in a location when a user sleeps and records environmental sound. The sleep monitoring application determines indicators of sleep activity such as breathing sounds made by the user, and determines a sleep state of the user based on the indicators of sleep activity. Sleep disorders can be detected from the indicators of sleep activity. The sleep monitoring application may generate a report that summarizes the user's sleep states and alerts the user to any sleep disorders. The sleep monitoring application can use the environmental sound and the determined sleep states to determine ambient sound that is associated with good sleep. Later, if the sleep application determines the user is having problems sleeping, the sleep monitoring application can play the determined ambient sound to help the user sleep.

Abstract: A particular method includes receiving image data from an image capture device and detecting text within the image data. In response to detecting the text, augmented image data is generated that includes at least one augmented reality feature associated with the text.

Abstract: Estimating a location of a mobile device is performed by comparing environmental information, such as environmental sound, associated with the mobile device with that of other devices to determine if the environmental information is similar enough to conclude that the mobile device is in a comparable location as another device. The devices may be in comparable locations in that they are in geographically similar locations (e.g., same store, same street, same city, etc.). The devices may be in comparable locations even though they are located in geographically dissimilar locations because the environmental information of the two locations demonstrates that the devices are in the same perceived location. With knowledge that the devices are in comparable locations, and with knowledge of the location of one of the devices, certain actions, such as targeted advertising, may be taken with respect to another device that is within a comparable location.

Abstract: Methods and systems to translate input labels of arcs of a network, corresponding to a sequence of states of the network, to a list of output grammar elements of the arcs, corresponding to a sequence of grammar elements. The network may include a plurality of speech recognition models combined with a weighted finite state machine transducer (WFST). Traversal may include active arc traversal, and may include active arc propagation. Arcs may be processed in parallel, including arcs originating from multiple source states and directed to a common destination state. Self-loops associated with states may be modeled within outgoing arcs of the states, which may reduce synchronization operations. Tasks may be ordered with respect to cache-data locality to associate tasks with processing threads based at least in part on whether another task associated with a corresponding data object was previously assigned to the thread.