> ## Documentation Index > Fetch the complete documentation index at: https://docs.verloop.io/llms.txt > Use this file to discover all available pages before exploring further. # Speech Recognition Optimization > Configure your Voice Agent to handle linguistic nuances, from Khaleeji Arabic to Hinglish and LATAM Spanish. Fine-tuning how your **Voice Agent** listens is just as important as how it speaks. This is more importanting when focus is to **Automate Phone Calls** for regions like India, Middle East, South East Asia as people speak many languages(Hindi, Arabic, Malay, Tamil, Telugu etc.) and often expectation from Voice Agents is to understand code-switched languages like Hinglish(Hindi and English mixed). The Speech Recognition settings allow you to calibrate your Voice Agents to understand the specific linguistic nuances of your callers. *** ## Configuring Recognition Settings By customizing speech-to-text (STT) parameters at the phone number level, you ensure your agent accurately captures intent even in linguistically diverse environments. Choose the base language the **Smart AI** should expect to hear on this line. * **For Indian Markets:** Select from a wide array of regional options to power **Voice AI for Indian Languages** like Hindi, Marathi, or Bangla. * **For Middle Eastern Markets:** Setting the primary language to Arabic is the first step in deploying **Voice AI for Arabic Language**. Use the **Boosted Keywords** field to give the model a "heads-up" on specific terms it might encounter. * **Industry Jargon:** Add technical terms or product names that are unique to your business. * **Dialectal Nuances:** For **Voice AI for Arabic Language**, you can boost specific local terms to help the agent differentiate between **Khaleeji**, **Emirati** and various other dialectsm. * **Hinglish Support:** Add common English words frequently used in Indian regional speech to improve the fluidity of **Voice AI for Indian Languages**.