AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic Approach

Researchers introduced Agentic Speech Recognition, or AgenticASR, to turn live speech into cleaner text that preserves intent.

The system combines an ASR front end with a refiner that keeps revising earlier output when later speech changes the meaning.

They also released AASR-Bench, a bilingual benchmark with atomic evaluation rubrics for more precise assessment.

Across tested front-end ASR systems, the approach achieved top benchmark scores and points to better streaming transcription.