Kaldi and kraken training data generator
This script downloads pages with transcriptions from Arkindex and converts data to Kaldi format or kraken format. It also generates train, val and test splits.
Using the script
common for both modules
ARKINDEX_API_TOKEN and ARKINDEX_API_URL environment variables must be defined.
Install necessary dependencies
virtualenv -p python3 .env
source .env/bin/activate
pip install -r requirements.txtUse help to list possible parameters:
python kaldi_data_generator.py --helpThere is also an option that skips all vertical transcriptions and it is --skip_vertical_lines
Kaldi format
Simple example:
python kaldi_data_generator.py -f kaldi --dataset_name my_balsac --out_dir /tmp/balsac/ --volumes 8f4005e9-1921-47b0-be7b-e27c7fd29486 d2f7c563-1622-4721-bd51-96fab97189f7With corpus ids
python kaldi_data_generator.py -f kaldi --dataset_name cz --out_dir /tmp/home_cz/ --corpora 1ed45e94-9108-4029-a529-9abe37f55ba0Polygon example:
python kaldi_data_generator.py -f kaldi --dataset_name my_balsac2 --extraction_mode polygon --out_dir /tmp/balsac/ --pages 50e1c3c0-2fe9-4216-805e-1a2fd2e7e9f4The script creates 3 directories Lines, Transcriptions, Partitions in the specified out_dir.
The contents of these directories must be copied (or symlinked) to the corresponding directories in data/local/ of kaldi recipe.
Kraken format
simple examples:
$ python3 kaldi_data_generator.py -f kraken -o <output_dir> --volumes <volume_id> --no_splitFor instance to download the 4 sets from IAM (2 validation set on Arkindex) in 3 directories :
$ python3 kaldi_data_generator.py -f kraken -o iam_training --volumes e7a95479-e5fc-4b20-830c-0c6e38bf8f72 --no_split
$ python3 kaldi_data_generator.py -f kraken -o iam_validation --volumes edc78ee1-09e0-4671-806b-5fc0392707d9 --no_split
$ python3 kaldi_data_generator.py -f kraken -o iam_validation --volumes fefbbfca-a6dd-4e00-8797-0d4628cb024d --no_split
$ python3 kaldi_data_generator.py -f kraken -o iam_test --volumes 0ce2b631-01d7-49bf-b213-ceb6eae74a9b --no_split