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## Malayalam ASR Predicted output & Reference Samples
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This repository contains evaluation results from the Malayalam ASR model "vrclc/Whisper_small_malayalam" using the "google/fleurs" dataset.
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### Model Details
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* Model Name: [vrclc/Whisper_small_malayalam](https://huggingface.co/vrclc/Whisper_small_malayalam)
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* Dataset: [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test)
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* Language: Malayalam
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### Evaluation Results
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* 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.
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* Model Training: [vrclc/Whisper_small_malayalam](https://huggingface.co/vrclc/Whisper_small_malayalam) was trained with 50 hours of Malayalam speech data.
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* 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%.
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This repository serves to provide an insight in error analysis which helps to identify general mistakes and areas for improvement in Malayalam speech recognition.
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