Code-Switching in Voice AI: How We Handle Hindi-English Mixed Language Calls
Technical deep-dive into how voice AI handles code-switching between Hindi and English — the most common calling pattern in Indian business.
8 articles about technical. Discover expert insights, tutorials, and guides.
Technical deep-dive into how voice AI handles code-switching between Hindi and English — the most common calling pattern in Indian business.
Technical deep-dive into Gemini Live 2.5 HD for voice AI — native audio processing, 30 HD voices, sub-500ms latency, and affective dialog.
Comparison of telephony providers for voice AI in India. Pricing, reliability, Indian number support, and integration complexity.
How to build an LLM-based post-call extraction pipeline. Architecture, template design, provider selection, and real-world results.
How AI detects caller sentiment in real-time and post-call. Cooperative, resistant, confused, hostile classification with real examples.
Developer guide to integrating voice AI via APIs, webhooks, and custom integrations. Real-time events, post-call data, and CRM connectivity.
Technical comparison of voice AI architectures: traditional STT-LLM-TTS pipeline vs native audio-to-audio. Latency, quality, and cost trade-offs.
Technical comparison of voicemail detection methods for AI voice agents. Prompt-based detection, pattern matching, and hybrid approaches.