Automated systems and methods for processing communication proficiency data

Abstract

A method for enabling improved proficiency of speech, which may have the steps of: receiving language sample input from a regular user; facilitating analysis of the language sample input by implementing a machine learning model trained using a scoring agent based on a pre-determined set of language parameters to generate a coaching score; receiving a coaching score input from the scoring agent analysis of the user's speech proficiency; generating a report to the user resulting from applying the previously-trained machine learning model based on the score, wherein the report is configured to enable the user to improve speech proficiency. In another embodiment, the scoring agent may be at least one of a human, a regular user, or a machine with the ability to analyze the user audio input based on the set of language parameters.

Dependencies are inferred from the claim text.