Datasets:
Tasks:
Automatic Speech Recognition
Modalities:
Text
Formats:
text
Languages:
English
Size:
10K - 100K
License:
| license: apache-2.0 | |
| task_categories: | |
| - automatic-speech-recognition | |
| - conversational | |
| language: | |
| - en | |
| tags: | |
| - medical | |
| - biology | |
| pretty_name: Medical Interview | |
| size_categories: | |
| - 10K<n<100K | |
| The dataset was re-organized and used in the following paper. Please cite if you adopted the corpus in your work. | |
| ```bibtex | |
| @inproceedings{liu2024post, | |
| title={Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview}, | |
| author={Liu, Heyang and Wang, Yanfeng and Wang, Yu}, | |
| booktitle={Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}, | |
| pages={12917--12926}, | |
| year={2024} | |
| } |