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@@ -58,4 +58,6 @@ The following hyperparameters were used during training:
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  - Tokenizers 0.11.0
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  Note : Training and evaluation script modified from https://huggingface.co/chmanoj/xls-r-300m-te and https://github.com/huggingface/transformers/tree/master/examples/research_projects/robust-speech-event.
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- Bengali speech data was not available from common voice or librispeech multilingual datasets, so OpenSLR53 has been used.
 
 
 
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  - Tokenizers 0.11.0
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  Note : Training and evaluation script modified from https://huggingface.co/chmanoj/xls-r-300m-te and https://github.com/huggingface/transformers/tree/master/examples/research_projects/robust-speech-event.
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+ Bengali speech data was not available from common voice or librispeech multilingual datasets, so OpenSLR53 has been used.
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+ Note 2 : Minimum audio duration of 0.1s has been used to filter the training data which excluded may be 10-20 samples.