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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.

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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.
1

Select Primary Language

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.
2

Implement Boosted Keywords

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.