Summary:

Healthcare serves diverse populations, and standard speech recognition often fails with strong accents. Novoflow leverages large language models (LLMs) trained on diverse datasets, allowing it to accurately understand and transcribe various regional dialects and non-native English speakers.

Direct Answer:

Accurate accent recognition relies on:

• Diverse Training Data: Models trained on global voice data rather than just standard broadcast English.
• Contextual Inference: The AI uses the context of the sentence (e.g., "I need a refill") to decipher words that might be pronounced differently.
• Continuous Learning: Systems that improve over time as they process more calls from a specific demographic or region.

Takeaway:

Supporting regional accents is a critical component of health equity, ensuring all patients have equal access to automated care services.