AUGMENTATION OF KEY PHRASE USER RECOGNITION
First Claim
1. On a computing device, a method comprising:
- monitoring a use environment via one or more sensors including an acoustic sensor;
detecting utterance of a key phrase via selected data from the acoustic sensor;
based upon the selected data from the acoustic sensor and also on other environmental sensor data collected at different times than the selected data from the acoustic sensor, determining a probability that the key phrase was spoken by an identified user; and
if the probability meets or exceeds a threshold probability, then performing an action on the computing device.
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Abstract
Examples for augmenting user recognition via speech are provided. One example method comprises, on a computing device, monitoring a use environment via one or more sensors including an acoustic sensor, detecting utterance of a key phrase via data from the acoustic sensor, and based upon the selected data from the acoustic sensor and also on other environmental sensor data collected at different times than the selected data from the acoustic sensor, determining a probability that the key phrase was spoken by an identified user. The method further includes, if the probability meets or exceeds a threshold probability, then performing an action on the computing device.
66 Citations
20 Claims
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1. On a computing device, a method comprising:
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monitoring a use environment via one or more sensors including an acoustic sensor; detecting utterance of a key phrase via selected data from the acoustic sensor; based upon the selected data from the acoustic sensor and also on other environmental sensor data collected at different times than the selected data from the acoustic sensor, determining a probability that the key phrase was spoken by an identified user; and if the probability meets or exceeds a threshold probability, then performing an action on the computing device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computing system, comprising:
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one or more sensors including at least an acoustic sensor; a logic machine; and a storage machine holding instructions executable by the logic machine to monitor a use environment via the one or more sensors including the acoustic sensor; detect utterance of a key phrase via selected data from the acoustic sensor; based upon the selected data from the acoustic sensor and also on other environmental sensor data collected at different times than the selected data from the acoustic sensor, determine a probability that the key phrase was spoken by an identified user; and if the probability meets or exceeds a threshold probability, then perform an action on the computing system. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. A computing system, comprising:
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one or more sensors including an acoustic sensor; a processor configured to execute computer-readable instructions; and a storage device comprising instructions stored thereon that are executable by the processor to monitor a use environment via the one or more sensors including the acoustic sensor; detect utterance of a key phrase followed by a command via selected data from the acoustic sensor, the key phrase configured to identify a user, the command configured to invoke a computing system action related to the user; if an identity of a user who uttered the key phrase is determined based on the selected data from the acoustic sensor, then perform the action on the computing system for the identified user; if an identity of a user who uttered the key phrase is not determined based on the selected data from the acoustic sensor, then determine a probability that the key phrase was uttered by one or more possible users based on other environmental sensor data collected at different times than the selected data from the acoustic sensor; and if the probability meets or exceeds a threshold probability for a selected user of the one or more other possible users, then perform the action on the computing system for the selected user. - View Dependent Claims (19, 20)
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Specification