Categorizing audio calls based on machine learning models

A method comprising:

• receiving a set of audio files, each audio file in the set of audio files comprising audio from an audio call;
• truncating each audio file in the set of audio files to a defined call length;
• for each audio call in the set of audio calls, receiving a transcript of the audio call based on the truncated audio file of the audio call;
• and
• for each audio call in the set of audio calls, using the transcript of the audio call as input to a machine learning model for the machine learning model to predict a category from a plurality of categories that is associated with the audio call.

A system comprising:

• a set of processing units;
• and
• a non-transitory machine-readable medium storing instructions that when executed by at least one processing unit in the set of processing units cause the at least one processing unit to:
• receive a set of audio files, each audio file in the set of audio files comprising audio from an audio call;
• truncate each audio file in the set of audio files to a defined call length;
• for each audio call in the set of audio calls, receive a transcript of the audio call based on the truncated audio file of the audio call;
• and
• for each audio call in the set of audio calls, use the transcript of the audio call as input to a machine learning model for the machine learning model to predict a category from a plurality of categories that is associated with the audio call.