Amazon Technologies, Inc.

Sid Shankara Rao

Karim Helwani

Arvindh Krishnaswamy

Michael Mark Goodwin

Erfan Soltanmohammadi

An audio assessment machine learning model, for example including one or more neural networks, may be trained for human audio quality assessment estimation, wherein the training comprises performing comparisons of a plurality of training machine learning audio quality assessments of training audio content to a plurality of human audio quality assessments of the training audio content and adjusting the audio assessment machine learning model based on the comparisons. After the training, a first audio analysis of first audio content may be performed by the audio assessment machine learning model. A first machine learning audio quality assessment of the first audio content may be provided, by the audio assessment machine learning model, based on the first audio analysis. The first machine learning audio quality assessment may include a quality score for the first audio content and a quality degradation reason for the first audio content.

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Seattle, WA, United States of America

Sid Shankara Rao