Earth iconJoin RTC League at Tech Next Dubai 2025 | Nov 6–7

RTCLeagueRTCLeague
Menu
Product
Services
Pricing
Try a DemoContact Us
Multilingual audio service
AI Voice

Designing multilingual voice agents that feel natural

AI Voice
RTCLeague TeamRTCLeague Team
••6 min read

Handling accents, code switching, and latency across languages without degrading experience.

Key Highlights

  • Why AI Voice matters for modern, real-time apps
  • Practical guidance teams can apply this week
  • How RTCLeague approaches reliability and latency

Getting Started

  1. Plan -> iterate with observability and user feedback.
  2. Build -> iterate with observability and user feedback.
  3. Measure -> iterate with observability and user feedback.
#ASR#TTS#Localization

Related posts

Scaling AI voice agents on RTCLeague Cloud

Deploy and scale agents on RTCLeague Cloud

How to right-size agent pools, handle traffic spikes, and keep costs predictable while achieving low-latency performance.

Real-time streaming optimization

Real-time streaming best practices in production

Practical tips for bitrates, adaptive strategies, and edge routing to keep streams smooth under load.

Observability dashboard

Observability for conversational AI: what to track

The essential metrics for agent reliability: turn-level latency, interruptions, and task completion.

RTC League — Real‑Time AI & Streaming