Amazon Technologies, Inc.

John Botros

Andy Kim

Mark Conrad Kockerbeck

Jilani Zeribi

Song Chen

Ryan Idrogo-Lam

Aditi Srinivasan

Methods and devices for sampling applications using a touch input are described herein. In some embodiments, an electronic device detects a touch input, which may cause the electronic device to send identifiers to a backend system. The backend system may then determine an application and sample audio request associated with the received identifiers. The backend system may then receive text data representing the sample audio request and text data representing a response to the sample audio request. The backend system may generate audio data representing the received text data and send the audio data to the electronic device. If, the touch input is still occurring, the backend system may find and send more sample audio requests and the responses thereof. If the touch input stops occurring during the sample, the backend system may send instructions to the electronic device to stop outputting the sample.

Graphical interface for speech-enabled processing

Techniques for generating a personalization identifier that is usable by a skill to customize output of supplemental content to a user, without the skill being able to determine an identity of the user based on the personalization identifier, are described. A personalization identifier may be generated to be specific to a skill, such that different skills receive different personalization identifiers with respect to the same user. The personalization identifier may be generated by performing a one-way hash of a skill identifier, and a user profile identifier and/or a device identifier. User-perceived latency may be reduced by generating the personalization identifier at least partially in parallel to performing ASR processing and/or NLU processing.

Supplemental content output

Graphical interface to preview functionality available for speech-enabled processing

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Newport Beach, CA, United States of America

John Botros