Skip to content

Latest commit

 

History

History
13 lines (10 loc) · 587 Bytes

README.md

File metadata and controls

13 lines (10 loc) · 587 Bytes

SegFreeKWS

Code for the paper "Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring" presented in ICDAR 2023: ICDAR paper arxiv version

All critical functions for evaluation are available along with an already trained model in ./saved_models folder.

Updates: Training is also supported via train_words.py, e.g.:

python train_words.py -lr 1e-3 --dataset iam --max_epochs 40 --model_save_path './saved_models/temp.pt'