Techniques for utterance grouping and for improved training of machine learning models using grouped utterance data

Abstract

A system and method for training a machine learning model using sample labeling. A method includes embedding a first plurality of audio samples into a plurality of embeddings, wherein each embedding is a feature representation of a respective portion of the first plurality of audio samples; grouping the plurality of embeddings into a plurality of groups; selecting a second plurality of audio samples to be labeled based on the plurality of groups, wherein the second plurality of audio samples is selected based on a plurality of confidence scores for the plurality of groups and based on an embedding space coverage for each of the plurality of groups; and labeling the selected second plurality of audio samples by applying an automated speech recognition model to the second plurality of audio samples.