The development of an automatic speech recognition model using interview data from long-term care for older adults

Here the code regarding the paper "The development of an automatic speech recognition model using interview data from long-term care for older adults" will be shared.

Data

Not all of the data in this repository is availble publically. The data that is available publically due to the privacy of the participants. Upon request, our interview data may be provided with restrictions. Data are available from the Living Lab in Ageing and Long-Term Care (contact via Sil Aarts; s.aarts@maastrichtuniversity.nl) for researchers who meet the criteria for access to confidential data.

Pre-trained model weights

The weights are available through HuggingFace: https://huggingface.co/coen22/Speech-Recognition-AWO-L

Reference

If you use the code in this repository, please cite the following paper:

@article{10.1093/jamia/ocac241,
    author = {Hacking, Coen and Verbeek, Hilde and Hamers, Jan P H and Aarts, Sil},
    title = "{The development of an automatic speech recognition model using interview data from long-term care for older adults}",
    journal = {Journal of the American Medical Informatics Association},
    volume = {30},
    number = {3},
    pages = {411-417},
    year = {2022},
    month = {12},
    issn = {1527-974X},
    doi = {10.1093/jamia/ocac241},
    url = {https://doi.org/10.1093/jamia/ocac241},
    eprint = {https://academic.oup.com/jamia/article-pdf/30/3/411/49198739/ocac241.pdf},
}