Improved estimation of femininity using GMM supervectors and SVR for voice therapy of Gender Identity Disorder Clients

Chengshuo Wang, Masayuki Suzuki, Nobuaki Minematsu, Kyoko Sakuraba, Keikichi Hirose. Improved estimation of femininity using GMM supervectors and SVR for voice therapy of Gender Identity Disorder Clients. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013. pages 7751-7754, IEEE, 2013. [doi]

@inproceedings{WangSMSH13,
  title = {Improved estimation of femininity using GMM supervectors and SVR for voice therapy of Gender Identity Disorder Clients},
  author = {Chengshuo Wang and Masayuki Suzuki and Nobuaki Minematsu and Kyoko Sakuraba and Keikichi Hirose},
  year = {2013},
  doi = {10.1109/ICASSP.2013.6639172},
  url = {http://dx.doi.org/10.1109/ICASSP.2013.6639172},
  researchr = {https://researchr.org/publication/WangSMSH13},
  cites = {0},
  citedby = {0},
  pages = {7751-7754},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013},
  publisher = {IEEE},
}