Amazon Technologies, Inc. patent applications on 2025-05-15
Patent Applications by Amazon Technologies, Inc. on May 15th, 2025
Amazon Technologies, Inc.: 5 patent applications
Amazon Technologies, Inc. has applied for patents in the areas of G06F3/0484 (for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range, 1), G06F9/5033 (Allocation of resources, e.g. of the central processing unit [CPU], 1), G06Q30/04 (Billing or invoicing, 1), G10L15/08 (SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING, 1), G10L15/1815 (SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING, 1)
With keywords such as: device, operation, mode, methods, systems, computer-readable, media, disclosed, voice-based, management in patent application abstracts.
Top Inventors:
- Kynan Dylan Antos of Seattle WA US (1 patents)
- Jenny Toi Wah Lam of Bainbridge Island WA US (1 patents)
- Mark Yoshitake of Palo Alto CA US (1 patents)
- Ankur Narendra Bhai Vachhani of San Jose CA US (1 patents)
- Blade Imsande McRae of Seattle WA US (1 patents)
Patent Applications by Amazon Technologies, Inc.
Abstract: systems, methods, and computer-readable media are disclosed for systems and methods for voice-based device operation mode management. example methods may include determining that a device is coupled to an accessory device, and determining that being coupled to the accessory device triggers activation of a first operation mode at the device. the first operation mode presents digital content at the display in a user interface having a first content density that is less than a second content density of a second operation mode. example methods may include causing the device to activate the first operation mode, receiving first voice data indicative of a request to change the device operation mode to the second operation mode, and causing the device to activate the second operation mode.
Abstract: parameters of a pool of computing resources to be utilized for machine learning tasks from a set of entities are stored, including a category of the computing resources, and a post-task-completion retention period during which, after completion of a task, at least a portion of data stored at the resource is not to be deleted. a compute instance of the pool is assigned to a task requested from the set of entities after determining that one or more configuration settings of the instance satisfy a preference indicated in the request for the task, and that the retention period of the instance relative to a completion of an earlier task on the instance has not expired. a result of the task is stored.
Abstract: methods and apparatus for partitioned private interconnects to provider networks are described. at least a portion of available bandwidth of a private physical interconnect between a provider network and a connectivity intermediary's network is designated as the bandwidth limit of an interconnect partition set up on behalf of a customer at the request of the intermediary. the intermediary's network comprises one or more devices to which at least one of the customer's devices is connected. access to one or more resources of the provider network via the interconnect is enabled. traffic monitoring results associated with the interconnect are used to enforce the designated bandwidth limit of the partition.
Abstract: techniques for capturing spoken user inputs while a device is prevented from capturing such spoken user inputs are described. when a first device becomes incapable of capturing spoken user inputs intended for a system, a second device, for capturing such spoken user inputs, may be identified. the second device may be identified based on the second device being connected to a same vehicle computing system as the first device. the second device may be enabled to capture spoken user inputs, intended for the system, until the first device is again able to capture such spoken user inputs.
Abstract: techniques for rendering visual content, in response to one or more utterances, are described. a device receives one or more utterances that define a parameter(s) for desired output content. a system (or the device) identifies natural language data corresponding to the desired content, and uses natural language generation processes to update the natural language data based on the parameter(s). the system (or the device) then generates an image based on the updated natural language data. the system (or the device) also generates video data of an avatar. the device displays the image and the avatar, and synchronizes movements of the avatar with output of synthesized speech of the updated natural language data. the device may also display subtitles of the updated natural language data, and cause a word of the subtitles to be emphasized when synthesized speech of the word is being output.
