metadata
license: cc
task_categories:
- sentence-similarity
language:
- ml
pretty_name: Malayalam ASR reference prediction pair
size_categories:
- n<1K
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.
- ASR Model Name: vrclc/Whisper_small_malayalam
- Dataset: google/fleurs
- 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 a WER is 53% when evaluated after punctuation removal.
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.