Abstract: A platform included in a device can be configured to execute instructions to operate the device. The platform can be configured to setup connectivity to a network provided by a data service provider by having an activated account with the data service provider. To activate the account, the platform can be configured to determine that subscription information requested by the data service provider is included in an existing profile associated with the device. Responsive to the determination the subscription information is included in the profile, the platform can be configured to provide information from the profile as the subscription information to activate the account with the data service provider and receive subscriber-level connectivity to the network.

Abstract: A computing device may receive an incoming communication and, in response, generate a notification that indicates that the incoming communication can be accessed using a particular application on the communication device. The computing device may further provide an audio signal indicative of the notification and automatically activate a listening mode. The computing device may receive a voice input during the listening mode, and an input text may be obtained based on speech recognition performed upon the voice input. A command may be detected in the input text. In response to the command, the computing device may generate an output text that is based on at least the notification and provide a voice output that is generated from the output text via speech synthesis. The voice output identifies at least the particular application.

Abstract: In one implementation, a computer-implemented method includes detecting a current context associated with a mobile computing device and determining, based on the current context, whether to switch the mobile computing device from a current mode of operation to a second mode of operation during which the mobile computing device monitors ambient sounds for voice input that indicates a request to perform an operation. The method can further include, in response to determining whether to switch to the second mode of operation, activating one or more microphones and a speech analysis subsystem associated with the mobile computing device so that the mobile computing device receives a stream of audio data. The method can also include providing output on the mobile computing device that is responsive to voice input that is detected in the stream of audio data and that indicates a request to perform an operation.

Abstract: A computer-implemented method of multisensory speech detection is disclosed. The method comprises determining an orientation of a mobile device and determining an operating mode of the mobile device based on the orientation of the mobile device. The method further includes identifying speech detection parameters that specify when speech detection begins or ends based on the determined operating mode and detecting speech from a user of the mobile device based on the speech detection parameters.

Abstract: The present application describes systems, articles of manufacture, and methods for continuous speech recognition for mobile computing devices. One embodiment includes determining whether a mobile computing device is receiving operating power from an external power source or a battery power source, and activating a trigger word detection subroutine in response to determining that the mobile computing device is receiving power from the external power source. In some embodiments, the trigger word detection subroutine operates continually while the mobile computing device is receiving power from the external power source. The trigger word detection subroutine includes determining whether a plurality of spoken words received via a microphone includes one or more trigger words, and in response to determining that the plurality of spoken words includes at least one trigger word, launching an application corresponding to the at least one trigger word included in the plurality of spoken words.

Abstract: A computing device may receive an incoming communication and, in response, generate a notification that indicates that the incoming communication can be accessed using a particular application on the communication device. The computing device may further provide an audio signal indicative of the notification and automatically activate a listening mode. The computing device may receive a voice input during the listening mode, and an input text may be obtained based on speech recognition performed upon the voice input. A command may be detected in the input text. In response to the command, the computing device may generate an output text that is based on at least the notification and provide a voice output that is generated from the output text via speech synthesis. The voice output identifies at least the particular application.

Abstract: A computing device may receive an incoming communication and, in response, generate a notification that indicates that the incoming communication can be accessed using a particular application on the communication device. The computing device may further provide an audio signal indicative of the notification and automatically activate a listening mode. The computing device may receive a voice input during the listening mode, and an input text may be obtained based on speech recognition performed upon the voice input. A command may be detected in the input text. In response to the command, the computing device may generate an output text that is based on at least the notification and provide a voice output that is generated from the output text via speech synthesis. The voice output identifies at least the particular application.

Abstract: The present application describes systems, articles of manufacture, and methods for continuous speech recognition for mobile computing devices. One embodiment includes determining whether a mobile computing device is receiving operating power from an external power source or a battery power source, and activating a trigger word detection subroutine in response to determining that the mobile computing device is receiving power from the external power source. In some embodiments, the trigger word detection subroutine operates continually while the mobile computing device is receiving power from the external power source. The trigger word detection subroutine includes determining whether a plurality of spoken words received via a microphone includes one or more trigger words, and in response to determining that the plurality of spoken words includes at least one trigger word, launching an application corresponding to the at least one trigger word included in the plurality of spoken words.

Abstract: In one implementation, a computer-implemented method includes detecting a current context associated with a mobile computing device and determining, based on the current context, whether to switch the mobile computing device from a current mode of operation to a second mode of operation during which the mobile computing device monitors ambient sounds for voice input that indicates a request to perform an operation. The method can further include, in response to determining whether to switch to the second mode of operation, activating one or more microphones and a speech analysis subsystem associated with the mobile computing device so that the mobile computing device receives a stream of audio data. The method can also include providing output on the mobile computing device that is responsive to voice input that is detected in the stream of audio data and that indicates a request to perform an operation.

Abstract: The present application describes systems, articles of manufacture, and methods for continuous speech recognition for mobile computing devices. One embodiment includes determining whether a mobile computing device is receiving operating power from an external power source or a battery power source, and activating a trigger word detection subroutine in response to determining that the mobile computing device is receiving power from the external power source. In some embodiments, the trigger word detection subroutine operates continually while the mobile computing device is receiving power from the external power source. The trigger word detection subroutine includes determining whether a plurality of spoken words received via a microphone includes one or more trigger words, and in response to determining that the plurality of spoken words includes at least one trigger word, launching an application corresponding to the at least one trigger word included in the plurality of spoken words.

Abstract: A computing device may receive an incoming communication and, in response, generate a notification that indicates that the incoming communication can be accessed using a particular application on the communication device. The computing device may further provide an audio signal indicative of the notification and automatically activate a listening mode. The computing device may receive a voice input during the listening mode, and an input text may be obtained based on speech recognition performed upon the voice input. A command may be detected in the input text. In response to the command, the computing device may generate an output text that is based on at least the notification and provide a voice output that is generated from the output text via speech synthesis. The voice output identifies at least the particular application.

Abstract: In one implementation, a computer-implemented method includes detecting a current context associated with a mobile computing device and determining, based on the current context, whether to switch the mobile computing device from a current mode of operation to a second mode of operation during which the mobile computing device monitors ambient sounds for voice input that indicates a request to perform an operation. The method can further include, in response to determining whether to switch to the second mode of operation, activating one or more microphones and a speech analysis subsystem associated with the mobile computing device so that the mobile computing device receives a stream of audio data. The method can also include providing output on the mobile computing device that is responsive to voice input that is detected in the stream of audio data and that indicates a request to perform an operation.

Abstract: A computer-implemented method of multisensory speech detection is disclosed. The method comprises determining an orientation of a mobile device and determining an operating mode of the mobile device based on the orientation of the mobile device. The method further includes identifying speech detection parameters that specify when speech detection begins or ends based on the determined operating mode and detecting speech from a user of the mobile device based on the speech detection parameters.

Abstract: A computer-implemented method of multisensory speech detection is disclosed. The method comprises determining an orientation of a mobile device and determining an operating mode of the mobile device based on the orientation of the mobile device. The method further includes identifying speech detection parameters that specify when speech detection begins or ends based on the determined operating mode and detecting speech from a user of the mobile device based on the speech detection parameters.

Abstract: In one implementation, a computer-implemented method includes detecting a current context associated with a mobile computing device and determining, based on the current context, whether to switch the mobile computing device from a current mode of operation to a second mode of operation during which the mobile computing device monitors ambient sounds for voice input that indicates a request to perform an operation. The method can further include, in response to determining whether to switch to the second mode of operation, activating one or more microphones and a speech analysis subsystem associated with the mobile computing device so that the mobile computing device receives a stream of audio data. The method can also include providing output on the mobile computing device that is responsive to voice input that is detected in the stream of audio data and that indicates a request to perform an operation.

Abstract: A computer-implemented method of multisensory speech detection is disclosed. The method comprises determining an orientation of a mobile device and determining an operating mode of the mobile device based on the orientation of the mobile device. The method further includes identifying speech detection parameters that specify when speech detection begins or ends based on the determined operating mode and detecting speech from a user of the mobile device based on the speech detection parameters.

Abstract: In one implementation, a computer-implemented method includes detecting a current context associated with a mobile computing device and determining, based on the current context, whether to switch the mobile computing device from a current mode of operation to a second mode of operation during which the mobile computing device monitors ambient sounds for voice input that indicates a request to perform an operation. The method can further include, in response to determining whether to switch to the second mode of operation, activating one or more microphones and a speech analysis subsystem associated with the mobile computing device so that the mobile computing device receives a stream of audio data. The method can also include providing output on the mobile computing device that is responsive to voice input that is detected in the stream of audio data and that indicates a request to perform an operation.

Abstract: In one implementation, a computer-implemented method includes detecting a current context associated with a mobile computing device and determining, based on the current context, whether to switch the mobile computing device from a current mode of operation to a second mode of operation during which the mobile computing device monitors ambient sounds for voice input that indicates a request to perform an operation. The method can further include, in response to determining whether to switch to the second mode of operation, activating one or more microphones and a speech analysis subsystem associated with the mobile computing device so that the mobile computing device receives a stream of audio data. The method can also include providing output on the mobile computing device that is responsive to voice input that is detected in the stream of audio data and that indicates a request to perform an operation.

Abstract: A computer-implemented method of multisensory speech detection is disclosed. The method comprises determining an orientation of a mobile device and determining an operating mode of the mobile device based on the orientation of the mobile device. The method further includes identifying speech detection parameters that specify when speech detection begins or ends based on the determined operating mode and detecting speech from a user of the mobile device based on the speech detection parameters.