Amazon Technologies, Inc.

Sanjay Kumar

Amber Roy Chowdhury

Hassan Haider Malik

Vasileios Lekakis

Anand Vishwanath Suvarnkar

Pawel Matykiewicz

Sihui Zhang

Uday S Sandhar

Josue Isai Vazquez Garcia

Ming Ma

Paul Kim

Devices and techniques are generally described for machine learning personalization as a service for speech processing applications. In various examples, a first request for machine learning prediction for a first speech processing skill. First skill data schema data may be received that describes content of the first speech processing skill. A first machine learning model for the first speech processing skill may be determined. A first feature definition describing a first aspect of the content may be determined. A second feature definition describing user profile data may be determined. A prediction request may be received from the first speech processing skill. First feature data may be generated according to the first feature definition and second feature data may be generated according to the second feature definition based at least in part on the prediction request. The first machine learning model may generate prediction data based at least in part on the prediction request, the first feature data, and the second feature data.

Personalization for speech processing applications

Methods, systems, and computer-readable media for distributed computing with adaptive parallelization are disclosed. An execution time metric is determined based (at least in part) on execution of a batch of jobs. A quantity of partitions for an additional batch of jobs is determined based (at least in part) on the execution time metric and on a target metric. The additional batch of jobs is divided between a set of partitions of the determined quantity. Execution is initiated of the additional batch of jobs in the set of partitions. The set of partitions comprises at least a first partition and a second partition. A first subset of jobs in the first partition is executed in parallel with a second subset of jobs in the second partition.

Distributed computing with adaptive parallelization

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Kirkland, WA, United States of America

Sanjay Kumar