Amazon Technologies, Inc.

Xin Liang

Oshry Ben-Harush

Adrien Carre

Piyush Bhargava

Joseph Vincent Standerfer

Daryl Bernard Hammett

Te Ken

Cong Zhang

Chandrashekar Nagaraju

Sumit Makashir

Jack FitzGerald

Md Moshiur Rahman

Secure distributed document discovery via vector similarity is performed by a data discovery service. The service receives a request to perform a search using input data. The service sends the input data and an embedding protocol to different data repositories that comprise vector databases. The service receives a results from the different data repositories; each result identifies documents and corresponding document similarity scores. The service generates an overall ranking of the documents according to the document similarity scores. The service returns a query result that identifies the at least a portion of the documents and indicates the ranking of the identified documents.

Secure distributed document discovery via vector similarity

Devices and techniques are generally described for rejecting false invocations of speech processing skills. In various examples, utterance data comprising automatic speech recognition (ASR) data and natural language understanding (NLU) data may be received. In some examples, ASR confidence data indicating a confidence level of the ASR data may be received. In further examples, NLU confidence data indicating a confidence level of the NLU data may be received. A machine learning model may determine, based at least in part on the ASR confidence data and the NLU confidence data, first false invocation data indicating a likelihood of false invocation of a speech processing skill. In some examples, a first directive may be sent to the speech processing system based at least in part on the first false invocation data. The first directive may be effective to cause the speech processing system to end a current dialog session.

False invocation rejection for speech processing systems

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Seattle, WA, United States of America

Xin Liang