Abstract: In one aspect, disclosed in a method for use in connection with a local area network (LAN) system comprising a group of multiple devices that includes a first device and a separate set of devices. The method includes: the first device determining that a machine learning (ML)-based task is to be performed; the first device broadcasting to the separate set of devices, a ML-based task request for the ML-based task, (i) wherein the separate set of devices are configured to perform an arbitration process to select a second device, and (ii) wherein the second device is configured to perform the ML-based task in accordance with the ML-based task request, thereby generating ML-based task output, and to transmit the generated ML-based task output to the first device; and the first device receiving the generated output from the second device and using the received output to facilitate performing one or more operations.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product aspects, and/or combinations and sub-combinations thereof, for locating a remote control. An example aspect operates by transmitting an encoded radio frequency to wake-up a proximate television remote and initiate a “find my remote” process. A passive circuit integrated within the television remote receives the transmitted encoded radio frequency signal. Once awake, the television remote may provide an indicator of location to a proximate user. Another example aspect operates by transmitting high frequency radar to a radar transponder circuit within the television remote so that it becomes visible to the radar. Once the transponder is activated, the radar may locate the television remote relative to the television and display the location of the television remote on-screen, on a mobile device screen, or other locator indicator constructs.

Abstract: A method and system for controlling response to a voice-command utterance. An example method includes a computing system that is associated with the first device carrying out operations upon the first device receiving the voice-command utterance. The operations include (a) making a determination of whether any of one or more second devices received the voice-command utterance before the first device received the voice-command utterance and (b) controlling whether the computing system will trigger an action in response to the first device receiving the voice-command utterance, with the controlling being based on the determination of whether any of the one or more second devices received the voice-command utterance before the first device received the voice-command utterance. In an example implementation, the action could be controlling operation of a control target such as one or more lights.

Abstract: In one aspect, an example method includes (i) obtaining, by a media player of a media presentation system, an audio signal, where the audio signal includes a voice command and is obtained using a microphone of the media presentation system; (ii) identifying, by the media player, which of multiple speakers of a household uttered the voice command using the audio signal and a speaker-identification model; (iii) performing, by the media player, an action corresponding to the voice command; and (iv) based on the identifying of the speaker using the audio signal and the speaker-identification model, selecting, by the media player, a user profile associated with the identified speaker within a streaming channel so as to bypass a profile selection screen of the streaming channel.

Abstract: A method and system for controlling response to a voice-command utterance. An example method includes a computing system that is associated with the first device carrying out operations upon the first device receiving the voice-command utterance. The operations include (a) making a determination of whether any of one or more second devices received the voice-command utterance before the first device received the voice-command utterance and (b) controlling whether the computing system will trigger an action in response to the first device receiving the voice-command utterance, with the controlling being based on the determination of whether any of the one or more second devices received the voice-command utterance before the first device received the voice-command utterance. In an example implementation, the action could be controlling operation of a control target such as one or more lights.

Abstract: In one aspect, an example method includes (i) obtaining, by a media player of a media presentation system, an audio signal, where the audio signal includes a voice command and is obtained using a microphone of the media presentation system; (ii) identifying, by the media player, which of multiple speakers of a household uttered the voice command using the audio signal and a speaker-identification model; (iii) performing, by the media player, an action corresponding to the voice command; and (iv) based on the identifying of the speaker using the audio signal and the speaker-identification model, selecting, by the media player, a user profile associated with the identified speaker within a streaming channel so as to bypass a profile selection screen of the streaming channel.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Abstract: In one aspect, an example method includes (i) obtaining, by a media player of a media presentation system, an audio signal, where the audio signal includes a voice command and is obtained using a microphone of the media presentation system; (ii) identifying, by the media player, which of multiple speakers of a household uttered the voice command using the audio signal and a speaker-identification model; (iii) performing, by the media player, an action corresponding to the voice command; and (iv) based on the identifying of the speaker using the audio signal and the speaker-identification model, selecting, by the media player, a user profile associated with the identified speaker within a streaming channel so as to bypass a profile selection screen of the streaming channel.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Abstract: In one aspect, an example method includes (i) obtaining, by a media player of a media presentation system, an audio signal, where the audio signal includes a voice command and is obtained using a microphone of the media presentation system; (ii) identifying, by the media player, which of multiple speakers of a household uttered the voice command using the audio signal and a speaker-identification model; (iii) performing, by the media player, an action corresponding to the voice command; and (iv) based on the identifying of the speaker using the audio signal and the speaker-identification model, selecting, by the media player, a user profile associated with the identified speaker within a streaming channel so as to bypass a profile selection screen of the streaming channel.

Abstract: A processor and a memory connected to the processor store instructions executed by the processor to collect playback statistics including audio attributes or video attributes associated with playback of specified content from multiple devices, aggregate the playback statistics, and establish a playback configuration for the specified content based on the playback statistics. The specified device here may be a type of content player or server.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Abstract: A processor and a memory connected to the processor store instructions executed by the processor to collect playback statistics including audio attributes or video attributes associated with playback of specified content from multiple devices, aggregate the playback statistics, and establish a playback configuration for the specified content based on the playback statistics. The specified device here may be a type of content player or server.

Abstract: A processor and a memory connected to the processor store instructions executed by the processor to collect playback statistics including audio attributes or video attributes associated with playback of specified content from multiple devices, perform an aggregation of the playback statistics, wherein the aggregation comprises a distribution of the audio attributes or video attributes associated with the playback of the specified content, identify a mean value of the distribution, and establish a playback configuration for the specified content based upon the mean value. Aggregation of audio attributes or video attributes may be for a specified device type, wherein the specified device type is a category of playback devices to which a device belongs. The specified device here may be a type of content player.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Abstract: A fluid induced instability detection system and method is provided to monitor various vibration characteristics of a turbomachine. The fluid induced instability detection system detects abnormalities in the vibration data and provides an indication of one or more potential faults in the turbomachine.

Abstract: A processor and a memory connected to the processor store instructions executed by the processor to collect playback statistics including audio attributes or video attributes associated with playback of specified content from multiple devices, perform an aggregation of the playback statistics, wherein the aggregation comprises a distribution of the audio attributes or video attributes associated with the playback of the specified content, identify a mean value of the distribution, and establish a playback configuration for the specified content based upon the mean value. Aggregation of audio attributes or video attributes may be for a specified device type, wherein the specified device type is a category of playback devices to which a device belongs. The specified device here may be a type of content player.