Amazon Technologies, Inc.

Deepthi Chidambaram

Kumar Brahnmath

Somayeh M Elleuch

Tejaswini Marathe

Shubaa Jhanani Ayengar Devanathan

Girish Shekhar

Sandeep Sankarlal

Michael Reid Fleming

Claudia C Clemente

Devices and techniques are generally described for voice-based content attribution for speech processing applications. In some examples, a request for voice-based content may be received from a first speech processing skill. First identifier data associated with the first speech processing skill may be received. A determination may be made that first content that is associated with the request. Voice-based output data describing the first content may be generated. A selection of the first content may be received. Attribution data may be determined based at least in part on the selection of the first content and the first identifier data. The attribution data may be sent to a remote computing device.

Voice-based content attribution for speech processing applications

Techniques are described for user account matching based on natural language utterances. In an example, a computer system receives a set of words, a voice print, and offer data about an offer based at least in part on a natural language utterance at a user device. The computer system determines a set of user accounts based at least in part on the set of words and determines, from this set, a first user account based at least in part on the voice print. The first user account is associated with a first user identifier. The computer system determines that the offer is associated with a second user account that is further associated with a second user identifier. The computer system generates associations of the user accounts with user identifiers and with the offer.

User account matching based on a natural language utterance

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Redmond, WA, United States of America

Deepthi Chidambaram