User mediation for hotword/keyword detection

A computer program product comprising one or more computer-readable storage media having program instructions collectively stored on the one or more computer-readable storage media, the program instructions executable to:

• receive, via one or more microphones of a client device, audio data that captures a spoken utterance of a user;
• process the audio data using a machine learning model to generate a predicted output that indicates a probability of one or more hotwords being present in the audio data;
• determine that the predicted output satisfies a threshold;
• receive, from the user, an indication that the spoken utterance does not include a hotword;
• and
• in response to determining that the predicted output satisfies the threshold and receiving the indication that the spoken utterance does not include the hotword, adjust the threshold.

A system comprising:

• a processor, a computer-readable memory, one or more computer-readable storage media, and program instructions collectively stored on the one or more computer-readable storage media, the program instructions executable to:
• receive, via one or more microphones of a client device, first audio data that captures a first spoken utterance of a user;
• process the first audio data using a machine learning model to generate a first predicted output that indicates a probability of one or more hotwords being present in the first audio data;
• determine that the first predicted output does not satisfy a threshold;
• in response to determining that the first predicted output does not satisfy the threshold, make a first adjustment to the threshold;
• subsequent to making the first adjustment:
• receive, via the one or more microphones of the client device, second audio data that captures a second spoken utterance of the user;
• process the second audio data using the machine learning model to generate a second predicted output that indicates a probability of the one or more hotwords being present in the second audio data;
• determine that the second predicted output does not satisfy the threshold that is adjusted according to the first adjustment;
• and
• in response to determining that the second predicted output does not satisfy the threshold that is adjusted according to the first adjustment, make a second adjustment to the threshold.