How to Identify Speakers in Real-Time with Speechmatics Diarization

Описание: Ever needed to know exactly who said what in a conversation?

In this video, we demonstrate Speaker Diarization inside the Speechmatics Portal — showing how to automatically label multiple speakers in your audio, improving transcription clarity for meetings, interviews, contact centres, media workflows, and Voice AI applications.

Whether you're building voice agents, analysing conversations, or transcribing multi-speaker recordings, diarization ensures clean, structured, attribution-ready transcripts.

Try it yourself in the Portal 👇
👉 https://portal.speechmatics.com

Explore Speech-to-Text:
👉 https://www.speechmatics.com/speech-t...

Building Voice Agents?
👉 https://www.speechmatics.com/use-case...

Developer Docs – Speaker Identification & Diarization:
👉 https://docs.speechmatics.com

Speechmatics Academy (GitHub):
👉 https://github.com/speechmatics/speec...

⏱ Chapters
00:00 – Introduction
00:20 – What is speaker diarization?
01:05 – Uploading audio in the Portal
01:40 – Enabling diarization
02:15 – Reviewing speaker-labelled transcripts
03:00 – Real-world use cases
03:40 – Try it yourself

Why It Matters
Most speech providers struggle with accurate speaker attribution. Speechmatics delivers highly accurate “who said what” labelling — even in challenging, real-world audio conditions.

If you're building:
Voice agents
Meeting transcription tools
Media workflows
Compliance or regulated applications
Speaker diarization is essential.

Follow Speechmatics
LinkedIn:   / speechmatics  
X:   / speechmatics  
GitHub: https://github.com/speechmatics
Website: https://www.speechmatics.com