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OpenAI Whisper delivers highly accurate speech-to-text transcription, but it does not track speaker changes. Applications that rely on Whisper cannot determine who is speaking in a conversation. To add speaker labels such as "Speaker 1" and "Speaker 2," you can integrate Falcon Speaker Diarization with whisper.cpp. creating a fully local, offline, multi-speaker transcription system.

This tutorial explains how to add speaker segmentation to Whisper, so you can determine "who spoke when" and generate timestamps to produce labeled Whisper transcripts suitable for multi-speaker recordings. This approach is ideal for use cases such as podcast transcriptionsmeeting transcription and summarization, or call center analytics, where speaker identification is essential for readability and downstream analysis.