Amazon Technologies, Inc.

Chandrashekar Nagaraju

Piyush Bhargava

Adrien Carre

Xin Liang

Cong Zhang

Sumit Makashir

Jack FitzGerald

Md Moshiur Rahman

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

Growing community of inventors

Redmond, WA, United States of America

Chandrashekar Nagaraju