Malayalam ASR Predicted output & Reference Samples
This repository contains evaluation results from the Malayalam ASR model "vrclc/Whisper_small_malayalam" using the "google/fleurs" dataset.
Model Details
- Model Name: vrclc/Whisper_small_malayalam
- Dataset: google/fleurs
- Language: Malayalam
Evaluation Results
- Dataset Description: The test set of google/fleurs dataset which consists of Malayalam speech data.
- Model Training: vrclc/Whisper_small_malayalam was trained with 50 hours of Malayalam speech data.
- Evaluation Metric:The unnormalized evaluation result of 500 samples from google/fleurs and the WER is 60.4%.
This repository serves to provide an insight in error analysis which helps to identify general mistakes and areas for improvement in Malayalam speech recognition.