Amazon Technologies, Inc.

Julian Chan

Rohit Prasad

Ariya Rastrow

Spyridon Matsoukas

Ankur Gandhe

Denis Sergeyevich Filimonov

Markus Dreyer

Nikko Ström

An automatic speech recognition ('ASR') system produces, for particular users, customized speech recognition results by using data regarding prior interactions of the users with the system. A portion of the ASR system (e.g., a neural-network-based language model) can be trained to produce an encoded representation of a user's interactions with the system based on, e.g., transcriptions of prior utterances made by the user. This user-specific encoded representation of interaction history is then used by the language model to customize ASR processing for the user.

Speech processing with learned representation of user interaction history

Growing community of inventors

Seattle, WA, United States of America

Julian Chan