Google Inc.

Pratik M Kamdar

Michael E Gunn

Mark A Jasiuk

Boris Bekkerman

Jeffrey A Sierawski

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 method include placing a first processor in a sleep operating mode and running a second processor that is operative to wake the first processor from the sleep operating mode in response to a speech command phrase. The method includes identifying, by the second processor, a speech command phrase segment and performing a control operation in response to detecting the segment in detected speech. The control operation is performed while the first processor is maintained in the sleep operating mode.

Voice control user interface during low power mode

Voice control user interface during low-power mode

Voice control user interface with multiple voice processing modules

Voice control user interface for low power mode

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Gurnee, IL, United States of America

Pratik M Kamdar