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--- |
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license: cc |
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task_categories: |
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- sentence-similarity |
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language: |
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- ml |
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pretty_name: Malayalam ASR reference prediction pair |
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size_categories: |
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- n<1K |
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--- |
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--- |
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license: cc-by-4.0 |
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task_categories: |
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- sentence-similarity |
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language: |
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- ml |
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pretty_name: Malayalam ASR Reference Prediction dataset |
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size_categories: |
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- n<1K |
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--- |
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# 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) |
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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 a WER is 53% when evaluated after punctuation removal. |
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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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