Systems and methods to train and/or use a machine learning model to generate correspondences between portions of recorded audio content and work unit records of a collaboration environment

Abstract

Systems and methods to train a machine learning model to generate correspondences between portions of recorded content and records of a collaboration environment and/or generate correspondences between portions of recorded content and records of a collaboration environment using a trained machine learning model. Exemplary implementations may perform one or more of: manage environment state information maintaining a collaboration environment; obtain correspondence information conveying user-provided correspondences between temporal content of recorded audio content and records; compile the correspondence information and information from records into input/output pairs; train a machine learning model based on the input/output pairs; store the trained machine learning model; provide other information from records and recorded content as input into the trained machine learning model; obtain output from the trained machine learning model including automatically generated correspondence information; and/or other operations.