How to perform Speaker Diarization in Python

This tutorial demonstrates how to use Python to perform speaker diarization on audio and video files. Speaker diarization is a technique used to partition an audio file into homogeneous segments, or "utterances", according to speaker identity. The AssemblyAI Python SDK is utilized in this process, which involves transcribing the audio file with speaker diarization enabled, and then printing out the results to see who is speaking when. This method provides valuable insights into user experiences and data analysis pipelines.