Amazon Technologies, Inc.

Adriano Devillaine

Jingqian Zhao

Ponnu Jacob

Ruiqi Luo

Uday Kumar Kollu

Adam Kalman

Yunqiang Zhu Zhu

Prathap Ramachandra

Xi Chen

Liu Yang

Wenbo Yan

Ajay Kumar Soni

Charlotte Alizerine Dzialo

Yochai Zvik

Nalledath P Vinodkrishnan

Krupal Maddipati

Omer Shabtai Jakobinsky

Meng Xie

Mohammad Alnuaimat

Shlomi Chovel

Colin Zhen De Kho

Kawshik Karur Rangaraju

A speech processing system uses contextual data to determine the specific domains, subdomains, and applications appropriate for taking action in response to spoken commands and other utterances. The system can use signals and other contextual data associated with an utterance, such as location signals, content catalog data, data regarding historical usage patterns, data regarding content visually presented on a display screen of a computing device when an utterance was made, other data, or some combination thereof.

Early invocation for contextual data processing

Dynamic context-based routing of speech processing

A new approach to automatic speech recognition is disclosed. An example method include receiving a first text representing speech recognition of a phrase spoken by a user, isolating a candidate named entity from within the phrase, receiving a first phonetic representation of the candidate named entity, comparing the first phonetic representation to phonetic representations in a mapping database which map the phonetic representations to words to yield a comparison, based on the comparison, identifying a second phonetic representation in the mapping database that matches a second text in the mapping database to the second phonetic representation and replacing the candidate named entity with the second text. The approach can be used for new brands for which automatic speech recognition error rates are high.

System and method of providing recovery for automatic speech recognition errors for named entities

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Bellevue, WA, United States of America

Adriano Devillaine