IMPROVING DETECTION OF VOICE-BASED KEYWORDS USING FALSELY REJECTED DATA

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20250095640A1
SERIAL NO

18292297

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Abstract

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Techniques described herein are directed to improving a user keyword detection model using user audio samples that have been falsely rejected. In some embodiments, user equipment (UE) may detect multiple attempts by a user at uttering a keyword. A true keyword that matches keyword models implemented by the UE may activate a desired function, such as initiating an assistant application, initiating a specific application, waking up from a lower power state, transitioning to a lower power state, toggling a power-saving mode, unlocking or locking the device, etc. Any true keywords uttered prior to detection of the true keyword but which have been falsely rejected may be sent to a server to train the keyword model and generate an updated keyword model. The updated keyword model may be received by the UE to replace the keyword model being used, allowing the UE to continually improve keyword detection accuracy.

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Patent Owner(s)

Patent OwnerAddress
QUALCOMM INCORPORATED5775 MOREHOUSE DRIVE SAN DIEGO CA 92121-1714

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
DONG, Xiaoxia Shenzhen, Guangdong, CN 9 13
PAN, Qimeng Shenzhen, Guangdong, CN 4 3
WEI, Jun Shenzhen, Guangdong, CN 78 615

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