Abstract: Wireless consumer-electronic devices, such as Wi-Fi access points, are provided in the present disclosure in addition to systems in which one or more wireless consumer-electronic devices are incorporated. A wireless consumer-electronic device, according to one implementation, includes an outer housing and electronic circuitry arranged within the outer housing for performing one or more electronic functions. The wireless consumer-electronic device further includes a power source arranged within the outer housing, where the power source is configured to be charged wirelessly. Also, the wireless consumer-electronic device includes a movement action mechanism arranged within the outer housing, where the movement action mechanism is configured to enable the wireless consumer-electronic device to levitate.

Abstract: Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

Abstract: Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

Abstract: Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

Abstract: Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

Abstract: Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

Abstract: Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

Abstract: A server determines that communications with a first user device are to be made in a voice call mode. The server receives, from a second user device, a first text data packet corresponding to text communications with the first user device, converts the first text data packet into a first voice data packet, and sends, via a wireless network, the first voice data packet to the first user device.

Abstract: A communication device may include a radio access technology (RAT) controller and two RAT receivers operatively coupled to the RAT controller. The first RAT receiver may be associated with a first RAT, and the second RAT receiver may be associated with a second RAT. The RAT controller may be configured to receive, using the first RAT receiver, while the second RAT receiver is off, a notification of an incoming voice call. The RAT controller may be further configured to cause the second RAT receiver to establish a connection with a wireless network cell associated with the second RAT and to receive the incoming voice call.

Abstract: A plurality of communication links are established between a user device and a base station. The user device may determine if one or more criteria are satisfied and may reconfigure one or more of the plurality of communication links, based on the one or more criteria.

Abstract: Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

Abstract: A user device performs intra-frequency measurements and inter-frequency measurements at a specified rate when the user device in a first discontinuous reception (DRX) cycle, and determines a signal condition of a signal received from a serving cell. The user device selects one of multiple lower intra-frequency rates for intra-frequency measurements in subsequent DRX cycles based on the signal condition and selects one of multiple lower inter-frequency rates for inter-frequency measurements in the subsequent DRX cycles based on the signal condition. The reduction in the rate may reduce a current drain by the user device when the user device is in the subsequent DRX cycles.

Abstract: Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and/or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

Abstract: A server determines that communications with a first user device are to be made in a voice call mode. The server receives, from a second user device, a first text data packet corresponding to text communications with the first user device, converts the first text data packet into a first voice data packet, and sends, via a wireless network, the first voice data packet to the first user device.

Abstract: A user device receives network information for a future destination of the user device. The user device stores the network information for the future destination in a local store of the user device. Responsive to the user device starting up, the user device searches for an available network using the network information in the local store of the user device, wherein searching for the available network excludes searching for a last registered network.

Abstract: Methods and systems for converting voice calls into text calls are disclosed. A method includes determining that a first user device is to be switched from a voice call mode to a text call mode, and sending an indication that the first user device is to be switched from the voice call mode to the text call mode to a server that is in communication with a second user device. The method further includes presenting to a user of the first user device a voice call from the second user device in text format.

Abstract: Approaches in accordance with various embodiments can utilize loss of service and call drop information to anticipate connection events between a computing device and a cellular or data network. The utilize loss of service and call drop information is compiled from past connection events from many devices and is utilizes by the computing device to determine areas historically associated with greater connection reliability (or strength of connectivity) upon at least detecting a condition indicative of a connection event. Accordingly, a user can be notified upon entering or moving toward an area associated with poor connection reliability. The user can further be directed to an area associated with greater connection reliability to ensure sufficient network coverage to carry out a phone call.

Abstract: One or more user experience metrics are obtained for one or more types of wireless communication networks. One or more user experience indicators may be displayed on a screen in conjunction with a signal strength indicator. Different sets of user experience metrics may also be obtained, each set being associate with an application on a user device. Each set of user experience metrics may be displayed in conjunction with a list of applications. A user may provide user input selecting a wireless communication network and the user device may be configured to use the selected wireless communication network.

Abstract: A first device obtains first audio from one or more microphones. The first device generates a first audio signal from the first audio. The first device analyzes the first audio signal to determine noise associated with the first audio. The first device receives a second audio signal from a second device, and processes the second audio signal based at least in part on the determined noise by identifying one or more frequencies of the second audio signal that are between 1-2 Kilohertz. The first device then outputs a modified second audio signal to a speaker.

Abstract: Methods and systems for optimizing voice call setup times for user devices. A user device that is registered to a packet switched network and in an idle state receives a command to establish a voice call. The user device selects a legacy cell of a circuit switched network. The user device then establishes a radio connection with the selected legacy cell without first establishing a radio connection with a serving cell of the packet switched network.