Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Learn the three-stage pipeline that powers every voice AI agent — speech-to-text, language model reasoning, and text-to-speech — including latency budgets, streaming strategies, and practical implementation patterns.
A practical comparison of the three leading STT engines for voice AI agents — OpenAI Whisper, Deepgram, and AssemblyAI — covering accuracy, latency, streaming capabilities, language support, and pricing.
A detailed comparison of ElevenLabs, OpenAI TTS, and Play.ht for voice AI agents — covering voice quality, latency, voice cloning, emotion control, and pricing to help you choose the right TTS engine.
Master WebRTC for voice AI agents — learn peer connections, media streams, STUN/TURN servers, and browser APIs to build real-time audio communication between users and AI agents.
Learn how Voice Activity Detection works in voice AI agents — from energy-based methods to ML-based VAD models like Silero — including configuration, sensitivity tuning, and practical implementation.
Master turn-taking mechanics for voice AI agents — including endpointing strategies, barge-in detection, silence thresholds, and overlap handling to create conversations that feel natural and responsive.
Build a complete audio preprocessing pipeline for voice AI agents — covering noise reduction, echo cancellation, gain normalization, and both client-side Web Audio API and server-side Python implementations.
A step-by-step tutorial for building a voice AI agent using the OpenAI Realtime API — covering WebSocket setup, audio streaming, function calling, session management, and production deployment patterns.
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