FCSR - Fuzzy Continuous Speech Recognition Approach for Identifying Laryngeal Pathologies Using New Weighted Spectrum Features

Rania M. Ghoniem, Khaled F. Shaalan. FCSR - Fuzzy Continuous Speech Recognition Approach for Identifying Laryngeal Pathologies Using New Weighted Spectrum Features. In Aboul Ella Hassanien, Khaled F. Shaalan, Tarek Gaber, Mohamed F. Tolba, editors, Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, AISI 2017, Cairo, Egypt, September 9-11, 2017. Volume 639 of Advances in Intelligent Systems and Computing, pages 384-395, Springer, 2017. [doi]

@inproceedings{GhoniemS17-0,
  title = {FCSR - Fuzzy Continuous Speech Recognition Approach for Identifying Laryngeal Pathologies Using New Weighted Spectrum Features},
  author = {Rania M. Ghoniem and Khaled F. Shaalan},
  year = {2017},
  doi = {10.1007/978-3-319-64861-3_36},
  url = {https://doi.org/10.1007/978-3-319-64861-3_36},
  researchr = {https://researchr.org/publication/GhoniemS17-0},
  cites = {0},
  citedby = {0},
  pages = {384-395},
  booktitle = {Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, AISI 2017, Cairo, Egypt, September 9-11, 2017},
  editor = {Aboul Ella Hassanien and Khaled F. Shaalan and Tarek Gaber and Mohamed F. Tolba},
  volume = {639},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-319-64861-3},
}