Amazon Technologies, Inc.

Apoorv Birthare

Alexandre Olegovich Verbitski

Frank Charles Paterra

Murali Brahmadesam

John Baker

Firat Basarir

Saleem Mohideen

Eric Neilsen

Navaneetha Krishnan Thanka Nadar

Enrico Sartorello

Sean Oczkowski

Andrew Portnoy

Gajanan Sharadchandra Chinchwadkar

Jan Engelsberg

Krishna Chaitanya Gourishetti

Kranthi Kumar Boyapati

Meet Kiritkumar Bhagdev

Andrew James Whitaker

A data storage system implements aggregation, bifurcation, and/or reduction techniques to improve the efficiency of processing data storage requests. Data storage requests and/or their associated payloads may be aggregated based on one or more parameters. Data to be the stored and the associated commands may be separated so as to optimize a system's throughput and latency for each. Furthermore, extraneous commands and requests may be reduced or eliminated based on heuristics associated with the requests and the data.

Client-based batching of data payload

Techniques for speech recognition are described. For example, a speech recognition service is to receive a request to perform speech recognition on speech data from a chatbot using a particular speech recognition service; determine a group of hosts to route the speech data to, the group of hosts to host a plurality of speech recognition services including the particular speech recognition service; determine a path to the determined group of hosts using a set of one or more rules; determine a particular host of the group of hosts to perform speech recognition on the speech data, the particular host having the speech recognition service in memory to process the request and being preferred for performing the speech recognition on the speech data; route the speech data to the particular host; perform speech recognition on the speech data using the particular host; and provide a text result of the speech recognition.

Speech recognition routing in a provider network

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Seattle, WA, United States of America

Apoorv Birthare