| --- |
| license: cc-by-4.0 |
| task_categories: |
| - sentence-similarity |
| language: |
| - ml |
| pretty_name: Malayalam ASR Reference Prediction dataset |
| size_categories: |
| - n<1K |
| --- |
| # Malayalam ASR Reference Prediction dataset |
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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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| * ASR 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) |
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| - **Curated by:** VRCLC |
| - [vrclc/Whisper_small_malayalam](https://huggingface.co/vrclc/Whisper_small_malayalam) was trained with 50 hours of Malayalam speech data. |
| - The test set of [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test) dataset which consists of Malayalam speech data was used to evaluate the model |
| - The evaluation of 500 samples from [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test) and gives an unnormalized WER(%): 49.67724937425899 |
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| ## Uses |
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| ### Direct Use |
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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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