Dynamically determining whether to perform candidate automated assistant action determined from spoken utterance

Abstract

Implementations perform, independent of any explicit assistant invocation input(s), automatic speech recognition (ASR) on audio data, that is detected via microphone(s) of an assistant device, to generate ASR text that predicts a spoken utterance that is captured in the audio data. The ASR text is processed and candidate automated assistant action(s) that correspond to the command, if any, are generated. For each of any candidate automated assistant action(s), it is determined whether to (a) cause automatic performance of the automated assistant action responsive to the spoken utterance or, instead, (b) suppress any automatic performance of the automated assistant action responsive to the spoken utterance. Such determination can be made based on processing both (i) action feature(s) for the candidate automated assistant action; and (ii) environment feature(s) that each reflects a corresponding current value for a corresponding dynamic state of an environment of the assistant device.