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Indic-ASR

This repository contains procedure for training and inferring your own wav2vec 2.0 model. We also provide pre-trained wav2vec 2.0 weights for 7 Indian languages. Work was done for INTERSPEECH 2021 special challenge "Multilingual and code-switching ASR challenges for low resource Indian languages".

Link to wav2vec 2.0 pre-trained weights

To know how to run inference on your own files, please refer to the run_inference folder. To train your own weights please refer to the run_train folder.

Audio File Statistics --> Pre-training

Train Stats

Language Mean Max Min Total Files
7 Indian Languages 5.80 60.0 0.0 479127

Valid Stats

Language Mean Max Min Total Files
7 Indian Languages 5.81 60.0 0.0 25036

Audio File Statistics (Multilingual ASR) --> Finetuning

Train Stats

Language Mean Max Min Total Files
Hindi 3.42 15.9 1.02 99925
Odia 5.69 48.11 1.51 59782
Marathi 4.26 52.52 1.0 79432
Gujarati 6.31 23.22 1.01 22807
Tamil 3.68 18.57 0.325 39131
Telegu 3.21 23.61 0.325 44882

Valid Stats

Language Mean Max Min Total Files
Hindi 5.20 12.66 1.92 3843
Odia 5.7 18.41 1.56 3471
Marathi 3.85 11.48 1.0 4675
Gujarati 5.85 13.89 1.97 3075
Tamil 5.85 14.5 1.71 3081
Telegu 5.92 19.66 1.514 3040

Audio File Statistics (Hindi code-switched ASR) --> Finetuning

Train Stats

Language Mean Max Min Total Files
Hindi 2.97 57.0 0.2 414698

Valid Stats

Language Mean Max Min Total Files
Hindi 2.39 41.0 0.2 33907

Audio File Statistics (Bengali code-switched ASR) --> Finetuning

Train Stats

Language Mean Max Min Total Files
Bengali 6.21 57.0 1.0 26606

Valid Stats

Language Mean Max Min Total Files
Bengali 5.90 29.0 1.0 4275