HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing

Sandrine Tornay, Marzieh Razavi, Necati Cihan Camgöz, Richard Bowden, Mathew Magimai-Doss. HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019. pages 2817-2821, IEEE, 2019. [doi]

@inproceedings{TornayRCBM19,
  title = {HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing},
  author = {Sandrine Tornay and Marzieh Razavi and Necati Cihan Camgöz and Richard Bowden and Mathew Magimai-Doss},
  year = {2019},
  doi = {10.1109/ICASSP.2019.8683167},
  url = {https://doi.org/10.1109/ICASSP.2019.8683167},
  researchr = {https://researchr.org/publication/TornayRCBM19},
  cites = {0},
  citedby = {0},
  pages = {2817-2821},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019},
  publisher = {IEEE},
  isbn = {978-1-4799-8131-1},
}