🇲🇱 Bambara ASR Leaderboard
This leaderboard ranks and evaluates speech recognition models for the Bambara language. Models are ranked based on a combined score of WER and CER metrics.
Current ASR Model Rankings
Models are ranked by selected metric - lower is better
Metrics Explanation
- WER (%): Word Error Rate (lower is better) - measures word-level accuracy
- CER (%): Character Error Rate (lower is better) - measures character-level accuracy
- Combined Score (%): Weighted average of WER (70%) and CER (30%) - provides a balanced evaluation
Submit a new model for evaluation
Upload a CSV file with 'id' and 'text' columns to evaluate your ASR predictions. The 'id's must match those in the reference dataset.
Updated Leaderboard