Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to an Analytics Engine that receives one more signal files that include neural signal data of a user based on voltages detected by one or more electrodes on a set of headphones worn by a user. The Analytics Engine preprocesses the data, extracts features from the received data, and feeds the extracted features into one or more machine learning models to generate determined output that corresponds to at least one of a current mental state of the user and a type of facial gesture performed by the user. The Analytics Engine sends the determined output to a computing device to perform an action based on the determined output.

Abstract: A method of operating a situationally aware speaker associated with a virtual personal assistant (VPA) service provider that comprises receiving an indication of at least one parameter of an environment proximate the situationally aware speaker, and delivering the response to the vocal query to the user formatted as speech through an audio output of the situationally aware speaker, at least one audio parameter of the response set based on the indication of the at least one parameter.

Abstract: A method of operating a situationally aware speaker associated with a virtual personal assistant (VPA) service provider that comprises receiving an indication of at least one parameter of an environment proximate the situationally aware speaker, and delivering the response to the vocal query to the user formatted as speech through an audio output of the situationally aware speaker, at least one audio parameter of the response set based on the indication of the at least one parameter.

Abstract: A method of operating a situationally aware speaker associated with a virtual personal assistant (VPA) service provider that comprises receiving an indication of at least one parameter of an environment proximate the situationally aware speaker, and delivering the response to the vocal query to the user formatted as speech through an audio output of the situationally aware speaker, at least one audio parameter of the response set based on the indication of the at least one parameter.

Abstract: Example systems may perform operations for: receiving, information about an activity scheduled for a user of an audio playback device; determining a timing associated with the activity based on the information; determining that audio content is being played on the audio playback device at the time of the activity; and controlling playback of the audio content on the audio playback device based on the timing to alert the user of the activity.

Abstract: Example systems may perform operations for: receiving, information about an activity scheduled for a user of an audio playback device; determining a timing associated with the activity based on the information; determining that audio content is being played on the audio playback device at the time of the activity; and controlling playback of the audio content on the audio playback device based on the timing to alert the user of the activity.

Abstract: A method for creating a stream of content for an audio system is provided. The method includes obtaining text metadata identifying each audio track of a selected collection of audio content, the selected collection of audio content being selected for playback from a first audio playback device of the audio system, and forwarding the text metadata identifying each audio track of the selected collection of audio content to a digital audio source to enable the digital audio source to select audio content containing additional audio content based on the text metadata.