Amazon Technologies, Inc.

Vinodth Kumar Mohanam

Joseph White

Venkata Snehith Cherukuri

Rami Faris Habal

Deepak Uttam Shah

Maziyar Khorasani

Ravi Kiran Rachakonda

Lalithkumar Rajendran

Menghan Li

Shwu Fang Loh

Hongzhou Chen

This disclosure describes, in part, techniques for determining device groupings, or clusters, for multiple voice-enabled devices. The device clusters may be determined based on metadata data for audio signals (or audio data) generated by each of the multiple voice-enabled devices. For example, a remote system may analyze timestamp data for the audio signals received from the devices, and determine that the devices detected the same voice command of a user based on the timestamp data indicating that the audio signals were received within a threshold period of time from each other. Additionally, the remote system may analyze other metadata of the audio data, such as signal-to-noise (SNR) values, and determine that the SNR values are within a threshold value. The remote system may determine device clusters for the voice-enabled devices of a user based on these, and potentially other, types of metadata of the audio signals.

Determining device groups

This disclosure describes, in part, context-based device arbitration techniques to select a voice-enabled device from multiple voice-enabled devices to provide a response to a command included in a speech utterance of a user. In some examples, the context-driven arbitration techniques may include determining a ranked list of voice-enabled devices that are ranked based on audio signal metric values for audio signals generated by each voice-enabled device, and iteratively moving through the list to determine, based on device states of the voice-enabled devices, whether one of the voice-enabled devices can perform an action responsive to the command. If the voice-enabled devices that detected the speech utterance are unable to perform the action responsive to the command, all other voice-enabled devices associated with an account may be analyzed to determine whether one of the other voice-enabled devices can perform the action responsive to the command in the speech utterance.

Context-based device arbitration

Items within an item universe or item repository can be associated with subscription options. A subscription visualization user interface can allow a user to visualize subscription costs over a particular time window and within certain display time periods so that better cost transparency can be achieved. Cost transparency and cost containment can be extremely important in an era of increasing subscription sales.

System and method for visualization of subscription items in an item universe

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Santa Clara, CA, United States of America

Vinodth Kumar Mohanam