Amazon Technologies, Inc.

Vladimir Adam

Ragini Rajendra Prasad

Henry Michael D Souza

Ketan Ashok Kulkarni

Oliver Benjamin Hill

Techniques for processing utterance audio are described. In an example, a computer system determines audio data representing an utterance detected by a device, and generates, based at least in part the audio data, first data representing at least one of portion of the utterance in a frequency domain. The first data specific is to a first frequency range. The computer system determines determining a second frequency range that is a subset of the first frequency range, the second frequency range meeting a frequency threshold, and generates, based at least in part on the first data, second data that represents the at least one portion in the frequency domain. The second data is specific to the second frequency range. The computer system determines, based at least in part on the second data, that additional audio data associated with the device is to be processed.

Detecting utterance in audio

Techniques for dynamically adjusting received audio are described. In an example, a computer system receives audio data representing noise and utterance received by a device during a first time interval that has a start and an end. The start corresponds to a beginning of the utterance. The end corresponds to at a selection by the device of an audio beam associated with a direction towards an utterance source. The computer system determines a value associated with an audio adjustment factor. The audio adjustment factor is represented by values that vary during the time interval. The value is one of the values associated with a time point of the first time interval. The computer system generates, based at least in part on the audio data and the value, first data that indicates a measurement of at least one of the noise or the utterance.

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San Jose, CA, United States of America

Vladimir Adam