Multi-modal smart audio device system attentiveness expression
A method may involve receiving output signals from each microphone of a plurality of microphones in the environment, each of the plurality of microphones residing in a microphone location of the environment, the output signals corresponding to an utterance of a person. The method may involve determining, based at least in part on the output signals, a zone within the environment that has at least a threshold probability of including the person's location and generating a plurality of spatially-varying attentiveness signals within the zone. Each attentiveness signal may be generated by a device located within the zone. Each attentiveness signal may indicate that a corresponding device is in an operating mode in which the corresponding device is awaiting a command and may indicate a relevance metric of the corresponding device.
1 . A method of controlling a system of devices in an environment, the method comprising:
receiving output signals from each microphone of a plurality of microphones in the environment, each microphone of the plurality of microphones residing in a microphone location of the environment, the output signals corresponding to an utterance of a person;
determining, based at least in part on the output signals, a zone within the environment that has at least a threshold probability of including a location of the person;
generating a plurality of spatially-varying attentiveness signals within the zone, each attentiveness signal of the plurality of attentiveness signals being generated by a device located within the zone, each attentiveness signal indicating that a corresponding device is in an operating mode in which the corresponding device is awaiting a command, wherein each attentiveness signal is spatially varied based on a relevance metric of the corresponding device, and wherein the relevance metric is based, at least in part, on an estimated distance from the location of the person to an acoustic centroid of a plurality of microphones within the zone, wherein the acoustic centroid is computed as a function of zone classification posteriors corresponding to a set of utterances by the person and an estimated position of the person during each utterance in the set.
2 . The method of claim 1 , wherein an attentiveness signal generated by a first device indicates a relevance metric of a second device, the second device being the corresponding device.
3 . The method of claim 1 , wherein the relevance metric is based, at least in part, on an estimated visibility of the corresponding device.
4 . The method of claim 1 , wherein the utterance comprises a wakeword.
5 . The method of claim 1 , wherein at least one of the plurality of spatially-varying attentiveness signals comprises a modulation of at least one previous signal generated by the device located within the zone prior to a time of the utterance.
6 . The method of claim 5 , wherein the at least one previous signal comprises a light signal and wherein the modulation comprises at least one of a color modulation, a color saturation modulation or a light intensity modulation.
7 . The method of claim 1 , wherein at least one microphone of the plurality of microphones is included in or configured for communication with a smart audio device.
8 . The method of claim 1 , further comprising an automated process of determining whether the device is in a device group.
9 . The method of claim 8 , wherein the automated process is based, at least in part, on sensor data corresponding to at least one of light or sound emitted by the device, or, wherein the automated process is based, at least in part, on communications between at least one of a source and an orchestrating hub device or a receiver and the orchestrating hub device, or, wherein the automated process is based, at least in part, on a light source or a sound source being switched on and off for a duration of time.
10 . The method of claim 8 , further comprising automatically updating the automated process according to implicit feedback based on one or more of a success of beamforming based on an estimated zone, a success of microphone selection based on the estimated zone, a determination that the person has terminated a response of a voice assistant abnormally, a command recognizer returning a low-confidence result or a second-pass retrospective wakeword detector returning low confidence that a wakeword was spoken.
11 . The method of claim 1 , further comprising selecting at least one speaker of the device located within the zone and controlling the at least one speaker to provide sound to the person.
12 . The method of claim 1 , further comprising selecting at least one microphone of the device located within the zone and providing signals output by the at least one microphone to a smart audio device.
13 . The method of claim 1 , wherein a first microphone of the plurality of microphones samples audio data according to a first sample clock and a second microphone of the plurality of microphones samples the audio data according to a second sample clock.
14 . An apparatus configured to perform the method of claim 1 .
15 . A system of devices configured to perform the method of claim 1 .
16 . One or more non-transitory media having software stored thereon, the software including instructions for controlling one or more devices to perform the method of claim 1 .