Linear scoring for low power wake on voice
First Claim
1. A computer-implemented method for key phrase detection comprising:
- generating a multiple element acoustic score vector for a current time instance based on received audio input, wherein the multiple element acoustic score vector comprises at least an acoustic score for at least one single state rejection model and acoustic scores for at least one multiple state key phrase model, and wherein the multiple state key phrase model corresponds to a predetermined key phrase;
receiving a multiple element state score vector for a previous time instance, wherein the multiple element state score vector comprises a previous state score for the single state rejection model and previous state scores for the multiple state key phrase model;
performing a vectorized operation to add the multiple element acoustic score vector and the multiple element state score vector to generate a multiple element score summation vector;
determining a second multiple element state score vector for the current time instance based on the multiple element score summation vector, wherein the second multiple element state score vector comprises a current state score for the single state rejection model and current state scores for the multiple state key phrase model;
evaluating the current state score for the single state rejection model and a final state score for the multiple state key phrase model to detect the predetermined key phrase in the received audio input; and
providing at least one of a system wake indicator or a system command in response to the detected predetermined key phrase.
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Abstract
Key phrase detection techniques for applications such as wake on voice are discussed include performing a vectorized operation on a multiple element acoustic score vector for a current time instance including a single state rejection model score and scores for a multiple state key phrase model and a multiple element state score vector for a previous time instance including a previous state score for the single state rejection model and previous state scores for the multiple state key phrase model to generate a multiple element score summation vector and a second vectorized operation on the multiple element score summation vector to determine a multiple element state score vector for the current time instance. The multiple element state score vector for the current time instance may then be evaluated to determine whether received audio input includes a key phrase corresponding to the multiple state key phrase model.
35 Citations
25 Claims
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1. A computer-implemented method for key phrase detection comprising:
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generating a multiple element acoustic score vector for a current time instance based on received audio input, wherein the multiple element acoustic score vector comprises at least an acoustic score for at least one single state rejection model and acoustic scores for at least one multiple state key phrase model, and wherein the multiple state key phrase model corresponds to a predetermined key phrase; receiving a multiple element state score vector for a previous time instance, wherein the multiple element state score vector comprises a previous state score for the single state rejection model and previous state scores for the multiple state key phrase model; performing a vectorized operation to add the multiple element acoustic score vector and the multiple element state score vector to generate a multiple element score summation vector; determining a second multiple element state score vector for the current time instance based on the multiple element score summation vector, wherein the second multiple element state score vector comprises a current state score for the single state rejection model and current state scores for the multiple state key phrase model; evaluating the current state score for the single state rejection model and a final state score for the multiple state key phrase model to detect the predetermined key phrase in the received audio input; and providing at least one of a system wake indicator or a system command in response to the detected predetermined key phrase. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for performing key phrase detection comprising:
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a memory configured to store a multiple element state score vector for a previous time instance, wherein the multiple element state score vector comprises a previous state score for at least one single state rejection model and previous state scores for at least one multiple state key phrase model, wherein the multiple state key phrase model corresponds to a predetermined key phrase; and a digital signal processor coupled to the memory, the digital signal processor to generate a multiple element acoustic score vector for a current time instance based on received audio input, wherein the multiple element acoustic score vector comprises at least an acoustic score for the single state rejection model and scores for the multiple state key phrase model, to receive the multiple element state score vector for the previous time instance from the memory, to perform a vectorized operation to add the multiple element acoustic score vector and the multiple element state score vector to generate a multiple element score summation vector, to determine a second multiple element state score vector for the current time instance based on the multiple element score summation vector, wherein the second multiple element state score vector comprises a current state score for the single state rejection model and current state scores for the multiple state key phrase model, to evaluate the current state score for the single state rejection model and a final state score for the multiple state key phrase model to detect the predetermined key phrase in the received audio input, and to provide at least one of a system wake indicator or a system command in response to the detected predetermined key phrase. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. At least one non-transitory computer readable medium comprising a plurality of instruction that, in response to being executed on a device, cause the device to perform key phrase detection by:
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generating a multiple element acoustic score vector for a current time instance based on received audio input, wherein the multiple element acoustic score vector comprises at least an acoustic score for at least one single state rejection model and acoustic scores for at least one multiple state key phrase model, and wherein the multiple state key phrase model corresponds to a predetermined key phrase; receiving a multiple element state score vector for a previous time instance, wherein the multiple element state score vector comprises a previous state score for the single state rejection model and previous state scores for the multiple state key phrase model; performing a vectorized operation to add the multiple element acoustic score vector and the multiple element state score vector to generate a multiple element score summation vector; determining a second multiple element state score vector for the current time instance based on the multiple element score summation vector, wherein the second multiple element state score vector comprises a current state score for the single state rejection model and current state scores for the multiple state key phrase model; evaluating the current state score for the single state rejection model and a final state score for the multiple state key phrase model to detect the predetermined key phrase in the received audio input; and providing at least one of a system wake indicator or a system command in response to the detected predetermined key phrase. - View Dependent Claims (20, 21, 22, 23, 24, 25)
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Specification