Amazon Technologies, Inc. patent applications on September 5th, 2024

Patent Applications by Amazon Technologies, Inc. on September 5th, 2024

Amazon Technologies, Inc.: 6 patent applications

Amazon Technologies, Inc. has applied for patents in the areas of G10L15/18 (2), G06F9/455 (1), G10L13/10 (1), G10L15/06 (1), G06N20/00 (1) G06F9/45558 (1), G06F9/50 (1), G06F21/606 (1), G10L13/10 (1), G10L15/01 (1)

With keywords such as: data, device, service, speech, storage, transcoding, provider, motion, execution, and client in patent application abstracts.

Patent Applications by Amazon Technologies, Inc.

20240296062. PERSISTENT EXECUTION ENVIRONMENT_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Thomas Albert Faulhaber of Seattle WA (US) for amazon technologies, inc., Jonathan Esterhazy of Alameda CA (US) for amazon technologies, inc., Vladimir Zhukov of Seattle WA (US) for amazon technologies, inc., Stefano Stefani of Issaquah WA (US) for amazon technologies, inc.

IPC Code(s): G06F9/455, G06F9/54

CPC Code(s): G06F9/45558

Abstract: methods and apparatus for providing persistent execution environments for computation systems including but not limited to interactive computation systems. a service is provided that extends the notion of static containers to dynamically changing execution environments into which users can install code, add files, etc. the execution environments are monitored, and changes to an execution environment are automatically persisted to environment versions(s) so that code run in the execution environment can be run later or elsewhere simply by referring to the environment. there is no explicit build step for the user. instead, incremental changes are added to environment versions which are stored and are ready to be used to instantiate respective execution environments on other compute instances.

20240296070. OPTIMIZING MEDIA TRANSCODING BASED ON LICENSING MODELS_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Jonathan B. Corley of Seattle WA (US) for amazon technologies, inc., Tal Saraf of Seattle WA (US) for amazon technologies, inc., Bradley E. Marshall of Bainbridge Island WA (US) for amazon technologies, inc.

IPC Code(s): G06F9/50, G06F16/25

CPC Code(s): G06F9/50

Abstract: a transcoding service is described that is capable optimizing media transcoding jobs according to the licensing model associated with a particular transcoder being utilized. the service can receive a request to transcode the media content from a user and inspect an sla to determine the parameters for the transcoding job, such as the time interval to complete the job or the price of performing the job. the service can then identify a licensing cost associated with transcoding the media content. for example, the licensing cost being based at least in part on a number of running instances of the transcoder. the transcoding service may apply a weight to the licensing cost when prioritizing the transcoding jobs. for example, the service may determine an optimal number of concurrently executing transcoder instances to utilize to reduce the licensing costs associated with the transcoding jobs.

20240296236. PROVISIONING OF A SHIPPABLE STORAGE DEVICE AND INGESTING DATA FROM THE SHIPPABLE STORAGE DEVICE_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Frank Paterra of Kirkland WA (US) for amazon technologies, inc., Firat Basarir of Seattle WA (US) for amazon technologies, inc.

IPC Code(s): G06F21/60, G06F21/44, G06F21/80, G06Q10/00, G06Q10/06, G06Q10/0631, G06Q10/08, G06Q10/083, H04L9/08, H04L9/32, H04L9/40

CPC Code(s): G06F21/606

Abstract: when a client requests a data import job, a remote storage service provider provisions a shippable storage device that will be used to transfer client data from the client to the service provider for import. the service provider generates security information for the data import job, provisions the shippable storage device with the security information, and sends the shippable storage device to the client. the service provider also sends client-keys to the client, separate from the shippable storage device (e.g., via a network). the client receives the device, encrypts the client data and keys, transfers the encrypted data and keys onto the device, and ships it back to the service provider. the remote storage service provider authenticates the storage device, decrypts client-generated keys using the client-keys stored at the storage service provider, decrypts the data using the decrypted client-side generated keys, and imports the decrypted data.

20240296827. TEXT-TO-SPEECH (TTS) PROCESSING_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Jaime Lorenzo Trueba of Cambridge (GB) for amazon technologies, inc., Thomas Renaud Drugman of Carnieres (BE) for amazon technologies, inc., Viacheslav Klimkov of Gdansk (PL) for amazon technologies, inc., Srikanth Ronanki of Cambridge (GB) for amazon technologies, inc., Thomas Edward Merritt of Cambridge (GB) for amazon technologies, inc., Andrew Paul Breen of Norwich (GB) for amazon technologies, inc., Roberto Barra-Chicote of Cambridge (GB) for amazon technologies, inc.

IPC Code(s): G10L13/10, G10L13/06, G10L25/18

CPC Code(s): G10L13/10

Abstract: during text-to-speech processing, a speech model creates output audio data, including speech, that corresponds to input text data that includes a representation of the speech. a spectrogram estimator estimates a frequency spectrogram of the speech; the corresponding frequency-spectrogram data is used to condition the speech model. a plurality of acoustic features corresponding to different segments of the input text data, such as phonemes, syllable-level features, and/or word-level features, may be separately encoded into context vectors; the spectrogram estimator uses these separate context vectors to create the frequency spectrogram.

20240296829. NON-SPEECH INPUT TO SPEECH PROCESSING SYSTEM_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Travis Grizzel of Snoqualmie WA (US) for amazon technologies, inc.

IPC Code(s): G10L15/01, G06F3/01, G10L13/00, G10L15/08, G10L15/18, G10L15/187, G10L15/24

CPC Code(s): G10L15/01

Abstract: a system and method for associating motion data with utterance audio data for use with a speech processing system. a device, such as a wearable device, may be capable of capturing utterance audio data and sending it to a remote server for speech processing, for example for execution of a command represented in the utterance. the device may also capture motion data using motion sensors of the device. the motion data may correspond to gestures, such as head gestures, that may be interpreted by the speech processing system to determine and execute commands. the device may associate the motion data with the audio data so the remote server knows what motion data corresponds to what portion of audio data for purposes of interpreting and executing commands. metadata sent with the audio data and/or motion data may include association data such as timestamps, session identifiers, message identifiers, etc.

20240296838. MACHINE LEARNING MODEL UPDATING_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Anil K. Ramakrishna of Los Angeles CA (US) for amazon technologies, inc., Rahul Gupta of Waltham MA (US) for amazon technologies, inc., Yuval Merhav of Cambridge MA (US) for amazon technologies, inc., Zefei Li of Cambridge MA (US) for amazon technologies, inc., Heather Brooke Spetalnick of Scotch Plains NJ (US) for amazon technologies, inc.

IPC Code(s): G10L15/18, G06N20/00, G10L15/06, G10L25/27

CPC Code(s): G10L15/1815

Abstract: techniques for updating a machine learning (ml) model are described. a device or system may receive input data corresponding to a natural or non-natural language (e.g., gesture) input. using a first ml model, the device or system may determine the input data corresponds to a data category of a plurality of data categories. based on the data category, the device or system may select a ml training type from among a plurality of ml training types. using the input data, the device or system may perform the selected ml training type with respect to a runtime ml model to generate an updated ml model.

Amazon Technologies, Inc. patent applications on September 5th, 2024