AssemblyAI's New Feature: Automatic Speaker Identification for Production Apps

Turning raw transcripts into production-ready output shouldn't require complex post-processing pipelines. In this video, Mart from AssemblyAI demonstrates how our new Speaker Identification feature combined with Speech Understanding eliminates the need for manual labeling, LLM processing, and regex find-and-replace operations. See how contact centers and voice AI developers can now label transcripts by caller, agent, and coach in a single API request—making it easier than ever to build and deploy professional voice applications. Key Takeaways: ✓ Learn why raw transcripts aren't enough for production applications ✓ Discover how to eliminate post-processing steps like LLM labeling and regex operations ✓ See Speaker Identification in action with automatic caller/agent/coach labeling ✓ Understand how one API request can replace your entire post-processing pipeline ✓ Explore how AssemblyAI simplifies voice AI development for contact centers and beyond Get a free API key and $50 in free credits: https://www.assemblyai.com/dashboard/signup?utm_source=youtube&utm_medium=referral&utm_campaign=yt_product_updates&utm_content=mart_3_speaker_id ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #voiceai