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implementation and evalution of whisper-large on gramvaani and kathbath

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whisper_hindi

This repository contains the implementation of Whisper-Large ASR model on the Gramvaani and Kathbath dataset for evaluation

  • The notebooks used for running the evaluation for the datasets are present here :

Kathbath here

Gramvaani here

The model used for the evaluation purposes is the Whisper-Large by OpenAI

whisper-large

Times taken to evaluate on the datasets :

Dataset Time Taken for evaluation Overall WER
Kathbath ~4.5 hours 0.2971
Gramvaani ~2 hours 0.5017

Specs used for evaluation (Kaggle basic):

RAM : 30GB

GPUs : T4x2

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