Linear scoring for low power wake on voice

A system to perform key phrase detection comprising:

• memory to store a state score vector and an acoustic score vector;
• and
• a processor coupled to the memory, the processor to:
• combine the state score vector and the acoustic score vector to generate a score summation vector, wherein the state score vector comprises, for a first time instance, a state score for a single state rejection model and state scores for a multiple state key phrase model corresponding to a predetermined key phrase, and wherein the acoustic score vector comprises, for a second time instance and based on received audio input, an acoustic score for the single state rejection model and acoustic scores for the multiple state key phrase model;
• determine an updated state score vector for the second time instance based on the multiple element score summation vector, wherein the updated state score vector comprises an updated state score for the single state rejection model and updated state scores for the multiple state key phrase model;
• evaluate the updated state score for the single state rejection model and a selected updated state score for the multiple state key phrase model to determine whether the received audio input is associated with the predetermined key phrase;
• and
• provide a system wake indicator or a command when the received audio input is associated with the predetermined key phrase.

A computer-implemented method for key phrase detection comprising:

• combining a state score vector and an acoustic score vector to generate a score summation vector, wherein the state score vector comprises, for a first time instance, a state score for a single state rejection model and state scores for a multiple state key phrase model corresponding to a predetermined key phrase, and wherein the acoustic score vector comprises, for a second time instance and based on received audio input, an acoustic score for the single state rejection model and acoustic scores for the multiple state key phrase model;
• determining an updated state score vector for the second time instance based on the multiple element score summation vector, wherein the updated state score vector comprises an updated state score for the single state rejection model and updated state scores for the multiple state key phrase model;
• evaluating the updated state score for the single state rejection model and a selected updated state score for the multiple state key phrase model to determine whether the received audio input is associated with the predetermined key phrase;
• and
• providing a system wake indicator or a command when the received audio input is associated with the predetermined key phrase.

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:

• combining a state score vector and an acoustic score vector to generate a score summation vector, wherein the state score vector comprises, for a first time instance, a state score for a single state rejection model and state scores for a multiple state key phrase model corresponding to a predetermined key phrase, and wherein the acoustic score vector comprises, for a second time instance and based on received audio input, an acoustic score for the single state rejection model and acoustic scores for the multiple state key phrase model;
• determining an updated state score vector for the second time instance based on the multiple element score summation vector, wherein the updated state score vector comprises an updated state score for the single state rejection model and updated state scores for the multiple state key phrase model;
• evaluating the updated state score for the single state rejection model and a selected updated state score for the multiple state key phrase model to determine whether the received audio input is associated with the predetermined key phrase;
• and
• providing a system wake indicator or a command when the received audio input is associated with the predetermined key phrase.