How is speaker embedding used in voice recognition for transcripts?

This article explains how speaker embedding technology solves the "who spoke when?" problem in meeting transcripts, representing unique vocal characteristics numerically. It details the diarization pipeline and architectural approaches for implementing this in modern speech-to-text systems.