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Datasets:
asr-malayalam
/
Mal_ASR_Predict_Ref_Samples

Tasks:
Sentence Similarity
Modalities:
Text
Formats:
csv
Languages:
Malayalam
Size:
< 1K
Libraries:
Datasets
pandas
License:
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Mal_ASR_Predict_Ref_Samples / README.md
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metadata
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

This repository contains evaluation results from the Malayalam ASR model "vrclc/Whisper_small_malayalam" using the "google/fleurs" dataset.

  • Curated by: VRCLC
  • vrclc/Whisper_small_malayalam was trained with 50 hours of Malayalam speech data.
  • The test set of google/fleurs dataset which consists of Malayalam speech data was used to evaluate the model
  • The evaluation of 500 samples from google/fleurs and gives an unnormalized WER(%): 49.67724937425899

Uses

Direct Use

This repository serves to provide an insight in error analysis which helps to identify general mistakes and areas for improvement in Malayalam speech recognition.