How to Evaluate APIs for Speaker Diarization @AssemblyAI
How to Evaluate APIs for Speaker Diarization  @AssemblyAI
Uploaded August 2025 | Updated September 2026, 3 weeks ago
Build smarter call center tools, podcasts, and meeting apps with AssemblyAI’s Speaker Diarization API.

👉 Try diarization for free with AssemblyAI: assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_jason_3

Speaker Diarization is the process of identifying who spoke when in an audio file. Whether you’re building call center tools, meeting apps, or podcast platforms, accurate diarization ensures transcripts are clear, structured, and actionable.

In this video, you’ll learn:

☑️ What speaker diarization is and why it matters
☑️ Real-world use cases (call centers, meetings, podcasts, subtitling)
☑️ Key metrics for evaluating a diarization API (DER, overlapping speech, speaker confusion)
☑️ How AssemblyAI compares to other providers

Poor diarization creates noisy data and misattributions — which means missed insights. Discover how AssemblyAI delivers higher accuracy and better handling of overlapping speakers.

📚 Explore the Diarization Docs: assemblyai.com/docs/speech-to-text/pre-recorded-audio/speaker-diarization?utm_source=youtube&utm_medium=referral&utm_campaign=yt_jason_3

#SpeechRecognition #SpeakerDiarization

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🖥️ Website: assemblyai.com
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🔥 We're hiring! Check our open roles: assemblyai.com/careers
🖥️ Learn more about our Diarization features: assemblyai.com/features/speaker-diarization

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How to Evaluate APIs for Speaker Diarization

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