Beyond Word Error Rate: Universal-2 Delivers Accuracy Where It Matters

Developers often face challenges in speech recognition due to the gap between raw audio files and structured outputs. Universal-2, a new standard for speech recognition, focuses on delivering immediately usable data such as properly formatted emails, validated phone numbers, and structured timestamps. It addresses critical last-mile challenges with breakthrough improvements like a 24% improvement in the recognition of rare words, a 21% increase in accuracy in alphanumerics, and a 15% improvement in text formatting. Universal-2 enables AI applications to capture competitive insights, trigger actions based on accurately captured details, transform raw conversations into properly formatted business data, and process millions of hours of conversations with confidence in the details.