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ASR project barebones

Installation guide

  1. pip install -r ./requirements.txt
  2. Download from http://www.openslr.org/11/ 3-gram.arpa.gz and librispeech-vocab.txt
  3. python hw_asr/text_encoder/fix_vocab.py and python hw_asr/text_encoder/lower_model.py to prepare vocab and model for using
  4. If you want to test my model, download it from the https://drive.google.com/file/d/1QrSsx56V5YNjGHUBWy6CIRVbNbjKWUpJ/view?usp=share_link , name it checkpoint.pth and place to the directory default_test_model/

Train

  1. python train.py --config hw_asr/configs/config2.json

Test

  1. python test.py -c default_test_config.json -r default_test_model/checkpoint.pth

Wandb report

  1. You can check my wandb report (only on Russian) and wandb project from the https://wandb.ai/tgritsaev/asr_project/reports/DLA-HW-1--Vmlldzo1NzY3NjA5?accessToken=kotkj5oyzomf2d2g1f40mczdnpirwvuw1f538zx9k491g1cfh3wg9iwhsb65o054