Datasets:

asr-malayalam
/

Mal_ASR_Predict_Ref_Samples

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Sentence Similarity

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leenag commited on Jul 12

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5f3a6c9

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@@ -8,9 +8,8 @@ This repository contains evaluation results from the Malayalam ASR model "vrclc/
 ### 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:
-    1. 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%.
-    2. Punctuation normalized evaluation result of same test set and the WER is 52%
 This repository serves to provide an insight in error analysis which helps to identify general mistakes and areas for improvement in Malayalam speech recognition.

 ### 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.