| ## 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](https://huggingface.co/vrclc/Whisper_small_malayalam) | |
| * Dataset: [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test) | |
| * Language: Malayalam | |
| ### Evaluation Results | |
| * Dataset Description: The test set of [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test) dataset which consists of Malayalam speech data. | |
| * Model Training: [vrclc/Whisper_small_malayalam](https://huggingface.co/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](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test) 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. | |