Accents, Code-Switching, and Model Tradeoffs in Production Systems

📅 Wednesday, March 4, 2026 🕙 10 AM PT | 1 PM ET 🎥 Live Technical Webinar

Artur Gasparyan, Senior Product Manager, Deepgram

Jack Kearney, Staff Research Scientist, Deepgram

Supporting multiple languages in a real-time voice agent isn’t just a feature decision — it’s an architectural one.

In production systems, speech rarely follows clean boundaries. Users bring regional accents, dialect shifts, and in-session code-switching while often switching languages mid-conversation. At the same time, engineering teams must protect latency budgets in streaming systems where even small delays degrade the conversational experience.

And behind it all is a foundational question:Should you deploy multiple monolingual models OR a single multilingual model?

Join this live, technical session for a deep dive into what a true multilingual strategy looks like at the infrastructure layer. We’ll unpack how language variability affects recognition quality, how multilingual models are trained and evaluated, and how to think about model selection in real-time production environments.

You’ll walk away with a practical framework for designing multilingual voice agents that maintain responsiveness, accuracy, and operational simplicity as language complexity increases.

Understand how real-world speech variability impacts transcription performance — and what it means for designing multilingual voice systems.

Explore how training data diversity, accent representation, and evaluation strategies influence how well models generalize across regions and blended language use.

Examine the architectural and operational tradeoffs between specialized models and unified multilingual systems in real-time deployments.

Learn how multilingual complexity affects real-time performance and how to design for responsiveness without sacrificing recognition quality.

This session is designed for engineers and product teams building real-time voice agents for multi-language environments, especially those balancing streaming performance, global deployment, and production reliability.

Reserve your seat to learn how to architect multilingual voice agents that scale globally without compromising latency, accuracy, or operational clarity.