Enhancing the intelligibility of statistically generated synthetic speech by means of noise-independent modifications

Daniel Erro, Tudor-Catalin Zorila, Yannis Stylianou. Enhancing the intelligibility of statistically generated synthetic speech by means of noise-independent modifications. IEEE Transactions on Audio, Speech & Language Processing, 22(12):2101-2111, 2014. [doi]

@article{ErroZS14,
  title = {Enhancing the intelligibility of statistically generated synthetic speech by means of noise-independent modifications},
  author = {Daniel Erro and Tudor-Catalin Zorila and Yannis Stylianou},
  year = {2014},
  doi = {10.1109/TASLP.2014.2361022},
  url = {http://dx.doi.org/10.1109/TASLP.2014.2361022},
  researchr = {https://researchr.org/publication/ErroZS14},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Audio, Speech & Language Processing},
  volume = {22},
  number = {12},
  pages = {2101-2111},
}