Abstract: A method includes obtaining a speech signal. The method also includes predicting a first likelihood of a wake word or phrase being spoken in the speech signal using a first machine learning model trained to receive the speech signal as input. The method further includes, responsive to the first likelihood exceeding a first threshold, performing automatic speech recognition on the speech signal to determine a textual representation of the speech signal. The method also includes predicting a second likelihood of the wake word or phrase being spoken in the speech signal using a second machine learning model trained to receive at least one of the textual representation, audio features associated with the speech signal, and context features associated with the electronic device. In addition, the method includes, responsive to the second likelihood exceeding a second threshold, generating instructions to perform an action requested in the speech signal.

Abstract: In an embodiment of the present disclosure, a method of simultaneously identifying intent and slots in a voice assistant command includes tokenizing, into a plurality of tokens, a current utterance of a user of a device comprising the voice assistant command, prepending the plurality of tokens with a previous utterance and a separation token, obtaining, using a transformer-based machine learning model, one or more predictions for the voice assistant command from the prepended plurality of tokens, aligning, according to one or more constraints, the at least one of the flag prediction, the goal prediction, and the sub-goal prediction, providing, to the device, the identified intent and the identified slots based on the intent prediction and the aligned at least one of the flag prediction, the goal prediction, and the sub-goal prediction, causing the device to perform the voice assistant command according to the identified intent and the identified slots.