The Multilingual Accuracy Challenge

There are more than 7,000 languages spoken globally with uncountable accents and dialects. English alone has 160+ dialects creating transcription accuracy challenges for automated speech recognition systems. 66% of survey respondents found accent or dialect-related issues a significant challenge for adopting voice recognition technology. Solutions include fine-tuning ASR models using accent-specific data, including real call audio rather than studio recordings in training datasets, and treating background noise and imperfect pronunciation as features rather than bugs.

Platform capability: Vapi supports 100+ languages through provider integrations and uses a proprietary endpointing model ensuring conversations flow naturally across diverse user populations.