Fact · Languages and accents
In the 2025 Emirati Arabic study, fine-tuning the five speech models on the Emirati corpus improved both their word error rate and their character error rate.
Checked against its source on October 17, 2026
In the source's own words
“fine-tuning improves both Word Error Rate (WER) and Character Error Rate (CER)”
ASR Models for Traditional Emirati Arabic: Challenges, Adaptations, and Performance Evaluation, Maha AlBlooki et al., ACL Anthology (ICNLSP 2025 workshop paper), 2025, Abstract.
Open the original- What it measures
- Fine-tuning means training an existing model further on recordings of the target dialect with matching transcripts. The paper reports that MMS gained the most and performed best after adaptation.
- What it does not show
- Fine-tuning needs labeled recordings in your dialect, which most people do not have. The paper does not show a level of accuracy a person would find usable for dictation.