Amazon Technologies, Inc.

Minmin Shen

Ariya Rastrow

Nikko Strom

Arindam Mandal

Angeliki Metallinou

Siddhartha Reddy Jonnalagadda

Prakash Krishnan

Vincent Auvray

Rohit Prasad

Shiv Naga Prasad Vitaladevuni

Ying Shi

Aaron Challenner

Thomas Edward Taylor

David Chi-Wai Tang

Amotz Maimon

Josey Diego Sandoval

Nishtha Gupta

Bonan Zheng

A natural language system may be configured to act as a participant in a conversation between two users. The system may determine when a user expression such as speech, a gesture, or the like is directed from one user to the other. The system may processing input data related the expression (such as audio data, input data, language processing result data, conversation context data, etc.) to determine if the system should interject a response to the user-to-user expression. If so, the system may process the input data to determine a response and output it. The system may track that response as part of the data related to the ongoing conversation.

Dialog management for multiple users

A system that is capable of resolving anaphora using timing data received by a local device. A local device outputs audio representing a list of entries. The audio may represent synthesized speech of the list of entries. A user can interrupt the device to select an entry in the list, such as by saying 'that one.' The local device can determine an offset time representing the time between when audio playback began and when the user interrupted. The local device sends the offset time and audio data representing the utterance to a speech processing system which can then use the offset time and stored data to identify which entry on the list was most recently output by the local device when the user interrupted. The system can then resolve anaphora to match that entry and can perform additional processing based on the referred to item.

Growing community of inventors

Milpitas, CA, United States of America

Minmin Shen