Keyword detection modeling using contextual information

A computer-implemented method comprising:

• as implemented by a computing system comprising one or more processors configured to execute specific instructions,
• receiving audio data representing audio of an utterance from a computing device subsequent to the computing device determining a wake word was detected in a first portion of the audio data;
• generating speech recognition result data using at least the first portion of the audio data and a second portion of audio data;
• generating acoustic data representing an acoustic property of a voice represented by the audio data;
• generating contextual data representing a context associated with the audio data;
• generating feature data using the speech recognition result data, acoustic data, and contextual data;
• determining, using a statistical wake word detection model configured to receive the feature data as input, that the audio data fails to satisfy a detection criterion related to detecting a representation of the wake word;
• and
• closing an audio data stream from the computing device.

A system comprising:

• computer-readable memory storing executable instructions;
• and
• one or more processors in communication with the computer-readable memory, wherein the one or more processors are programmed by the executable instructions to at least:
• receive audio input comprising a plurality of portions of audio data from a computing device subsequent to the computing device determining a wake word was detected in a first portion of the plurality of portions of audio data, wherein fewer than all of the plurality of portions audio data include a representation of the wake word;
• generate speech recognition result data using at least the first portion of audio data and a second portion of the plurality of portions of audio data;
• generate acoustic data representing an acoustic property of a voice represented by the audio input;
• generate contextual data representing a context associated with the audio input;
• generate feature data using the speech recognition result data, acoustic data, and contextual data;
• determine, using a statistical detection model configured to receive the feature data as input, that the first portion of audio data includes a representation of the wake word;
• and
• perform an action corresponding to a request in the audio input.