Mitigate the Reverberant Effects on Speaker Recognition via Multi-training

Duraid Y. Mohammed, Khamis A. Al-Karawi, Idress Mohammed Husien, Marwah Abdullah Ghulam. Mitigate the Reverberant Effects on Speaker Recognition via Multi-training. In Mohammed I. Khalaf, Dhiya Al-Jumeily, Alexei Lisitsa, editors, Applied Computing to Support Industry: Innovation and Technology - First International Conference, ACRIT 2019, Ramadi, Iraq, September 15-16, 2019, Revised Selected Papers. Volume 1174 of Communications in Computer and Information Science, pages 95-109, Springer, 2019. [doi]

@inproceedings{MohammedAHG19,
  title = {Mitigate the Reverberant Effects on Speaker Recognition via Multi-training},
  author = {Duraid Y. Mohammed and Khamis A. Al-Karawi and Idress Mohammed Husien and Marwah Abdullah Ghulam},
  year = {2019},
  doi = {10.1007/978-3-030-38752-5_8},
  url = {https://doi.org/10.1007/978-3-030-38752-5_8},
  researchr = {https://researchr.org/publication/MohammedAHG19},
  cites = {0},
  citedby = {0},
  pages = {95-109},
  booktitle = {Applied Computing to Support Industry: Innovation and Technology - First International Conference, ACRIT 2019, Ramadi, Iraq, September 15-16, 2019, Revised Selected Papers},
  editor = {Mohammed I. Khalaf and Dhiya Al-Jumeily and Alexei Lisitsa},
  volume = {1174},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-38752-5},
}