Amazon Technologies, Inc.

Junqing Shang

Ming Zhao

Michael Patrick Bacus

Joe Pemberton

Shubham Katiyar

Sherif M Yacoub

Narendra Gyanchandani

Hong Chen

Rushi P Desai

Liyuan Zhang

Lawrence Mariadas Chettiar

Artun Kutchuk

Naushad Zaveri

Devices and techniques are generally described for a speech processing routing architecture. First input data representing an input request may be received. First data including a semantic interpretation of the input request may be determined. Metadata of the first input data may be determined. The metadata may identify an entity associated with the input request. In some examples, a query may be sent to a first component. The query may include the metadata. In some examples, second data that identifies a first skill associated with the entity may be received from the first component. In various examples, the first skill may be selected for processing the first input data based at least in part on the first data and the second data.

Natural language processing routing

In some implementations, legibility of an image may be automatically determined based, at least in part, on text contained in the image. For example, image analysis techniques may be used to identify text components in an image. One or more features of each text component may be determined for use in assessing the legibility of the text component. For example, a classifier trained on the one or more features may provide a confidence level indicative of the legibility of each text component. The confidence level for each of the text components may be compared to a legibility threshold for determining whether the text component is legible or illegible. Based, at least in part, on the determination as to how much of the text in the image is legible or illegible, an overall legibility of the image may be assessed.

Assessing legibility of images

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Seattle, WA, United States of America

Junqing Shang