ON-DEVICE SELF TRAINING IN A TWO-STAGE WAKEUP SYSTEM COMPRISING A SYSTEM ON CHIP WHICH OPERATES IN A REDUCED-ACTIVITY MODE

Patent №

US 11,664,012

Granted

2023-05-30

Filed 2020

Owner

QUALCOMM INCORPORATED

Lab

AI components

4

ml · nlp · speech · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16830029

In one embodiment, an electronic device includes an input device configured to provide an input stream, a first processing device, and a second processing device. The first processing device is configured to use a keyword-detection model to determine if the input stream comprises a keyword, wake up the second processing device in response to determining that a segment of the input stream comprises the keyword, and modify the keyword-detection model in response to a training input received from the second processing device. The second processing device is configured to use a first neural network to determine whether the segment of the input stream comprises the keyword and provide the training input to the first processing device in response to determining that the segment of the input stream does not comprise the keyword.

Machine learningNatural languageSpeechAI hardwareG10L 15/063G10L 15/08G06F 15/7807G10L 15/26G10L 15/32G10L 15/16G10L 2015/088Y02D 10/00

AI classification

Natural language1.00
Machine learning1.00
AI hardware1.00
Speech0.99
Vision0.36
Knowledge representation0.01
Evolutionary computation0.00
Planning0.00

Ownership

QUALCOMM INCORPORATED

assignment · 546810114

Assignors

KANG, YOUNG MO, YUN, SUNGRACK, HWANG, KYU WOONG, JANG, HYE JIN, KIM, BYEONGGEUN

On an employer assignment, the assignors are typically the inventors.

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ON-DEVICE SELF TRAINING IN A TWO-STAGE WAKEUP SYSTEM COMPRISING A SYSTEM ON CHIP WHICH OPERATES IN A REDUCED-ACTIVITY MODE · 44B