- What changed
- A three-stage ASR pipeline using heuristic SQL filters and regional LoRA adapters on Qwen2.5-Omni-3B achieved 80 to 85 percent entity recall on accented conversational English.
- Why you should care
- Targeted data curation and regional LoRA fine-tuning significantly improve entity and disfluency recall in accented speech recognition without scaling parameter counts.
- Your move
- Watch. Monitor replication results on broader datasets before production adoption.
- What to watch next
- Independent replication of the pipeline on public multilingual datasets.
- Event
- research
- Event date
- Sep 21, 2026
- Relevant to
- General AI readers
