Google Inc.

Google Technology Holdings LLC

Jeffrey A Sierawski

Boris Bekkerman

Mark A Jasiuk

Michael E Gunn

Pratik M Kamdar

Thomas Y Merrell

Michael P Labowicz

Kazuhiro Ondo

A method on a mobile device for voice recognition training is described. A voice training mode is entered. A voice training sample for a user of the mobile device is recorded. The voice training mode is interrupted to enter a noise indicator mode based on a sample background noise level for the voice training sample and a sample background noise type for the voice training sample. The voice training mode is returned to from the noise indicator mode when the user provides a continuation input that indicates a current background noise level meets an indicator threshold value.

Method and device for voice recognition training

A system includes a fingerprint sensor, an application processor, and an auxiliary processor. The application processor is operable to arm the fingerprint sensor prior to the application processor entering a low power or sleep mode. The auxiliary processor is to receive a state output from the fingerprint sensor. The state output is to cause activation of one or more functions of the auxiliary processor upon fingerprint authentication while leaving the application processor in the low power or sleep mode.

Finger print state integration with non-application processor functions for power savings in an electronic device

A method and system for voice recognition are disclosed. In one example embodiment, the method includes receiving voice input information by way of a receiver on a mobile device and performing, by way of at least one processing device on the mobile device, first and second processing operations respectively with respect to first and second voice input portions, respectively, which respectively correspond to and are based at least indirectly upon different respective portions of the voice input information. The first processing operation includes a speech-to-text operation and the second processing operation includes an alternate processing operation. Additionally, the method includes generating recognized voice information based at least indirectly upon results from the first and second processing operations, and performing at least one action based at least in part upon the recognized voice information, where the at least one action includes outputting at least one signal by an output device.

Method and system for voice recognition employing multiple voice-recognition techniques

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Wauconda, IL, United States of America

Jeffrey A Sierawski