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README.md
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@@ -16,13 +16,14 @@ This repository contains evaluation results from the Malayalam ASR model "vrclc/
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* Dataset: [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test)
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### Dataset Description
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- **Curated by:** VRCLC
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- [vrclc/Whisper_small_malayalam](https://huggingface.co/vrclc/Whisper_small_malayalam) was trained with 50 hours of Malayalam speech data.
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- 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
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- The evaluation of 500 samples from [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test) and gives an unnormalized WER is 60.4%.
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## Uses
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* Dataset: [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test)
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- **Curated by:** VRCLC
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- [vrclc/Whisper_small_malayalam](https://huggingface.co/vrclc/Whisper_small_malayalam) was trained with 50 hours of Malayalam speech data.
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- 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
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- The evaluation of 500 samples from [google/fleurs](https://huggingface.co/datasets/google/fleurs/viewer/ml_in/test) and gives an unnormalized WER is 60.4%.
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## Uses
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