Systems and methods for selective wake word detection using neural network models

A method comprising:

• capturing sound data via a network microphone device;
• identifying, using a keyword spotting algorithm, a candidate wake word in the sound data;
• based on identification of the candidate wake word in the sound data, selecting a first wake-word detection algorithm from among a plurality of wake-word detection algorithms stored on the network microphone device, wherein the first wake-word detection algorithm is associated with a first voice assistant service and another of the plurality of wake-word detection algorithms is associated with a second voice assistant service different from the first;
• using the first wake-word detection algorithm, and without using another of the plurality of wake-word detection algorithms, analyzing the sound data to confirm detection of a wake word, wherein the first wake-word detection algorithm is configured to determine whether the candidate wake work is present in the sound data with a higher accuracy than the keyword spotting algorithm;
• and
• in response to confirming the detection of the wake word, transmitting a voice utterance of the sound data to one or more remote computing devices associated with the first voice assistant service.

A network microphone device, comprising:

• one or more processors;
• at least one microphone;
• and
• tangible, non-transitory, computer-readable media storing instructions executable by one or more processors to cause the network microphone device to perform operations comprising:
• capturing sound data via the one or more microphones;
• identifying, using a keyword spotting algorithm, a candidate wake word in the sound data;
• based on identification of the candidate wake word in the sound data, selecting a first wake-word detection algorithm from among a plurality of wake-word detection algorithms stored on the network microphone device, wherein the first wake-word detection algorithm is associated with a first voice assistant service and another of the plurality of wake-word detection algorithms is associated with a second voice assistant service different from the first;
• using the first wake-word detection algorithm, and without using another of the plurality of wake-word detection algorithms, analyzing the sound data to confirm detection of a wake word, wherein the first wake-word detection algorithm is configured to determine whether the candidate wake work is present in the sound data with a higher accuracy than the keyword spotting algorithm;
• and
• in response to confirming the detection of the wake word, transmitting a voice utterance of the sound data to one or more remote computing devices associated with the first voice assistant service.

Tangible, non-transitory, computer-readable media storing instructions executable by one or more processors to cause a network microphone device to perform operations comprising:

• capturing sound data via the network microphone device;
• identifying, using a keyword spotting algorithm, a candidate wake word in the sound data;
• based on identification of the candidate wake word in the sound data, selecting a first wake-word detection algorithm from among a plurality of wake-word detection algorithms stored on the network microphone device, wherein the first wake-word detection algorithm is associated with a first voice assistant service and another of the plurality of wake-word detection algorithms is associated with a second voice assistant service different from the first;
• using the first wake-word detection algorithm, and without using another of the plurality of wake-word detection algorithms, analyzing the sound data to confirm detection of a wake word, wherein the first wake-word detection algorithm is configured to determine whether the candidate wake work is present in the sound data with a higher accuracy than the keyword spotting algorithm;
• and
• in response to confirming the detection of the wake word, transmitting a voice utterance of the sound data to one or more remote computing devices associated with the first voice assistant service.