Audio-visual Voice Conversion Using Deep Canonical Correlation Analysis for Deep Bottleneck Features

Satoshi Tamura, Kento Horio, Hajime Endo, Satoru Hayamizu, Tomoki Toda. Audio-visual Voice Conversion Using Deep Canonical Correlation Analysis for Deep Bottleneck Features. In B. Yegnanarayana, editor, Interspeech 2018, 19th Annual Conference of the International Speech Communication Association, Hyderabad, India, 2-6 September 2018. pages 2469-2473, ISCA, 2018. [doi]

@inproceedings{TamuraHEHT18,
  title = {Audio-visual Voice Conversion Using Deep Canonical Correlation Analysis for Deep Bottleneck Features},
  author = {Satoshi Tamura and Kento Horio and Hajime Endo and Satoru Hayamizu and Tomoki Toda},
  year = {2018},
  doi = {10.21437/Interspeech.2018-2286},
  url = {https://doi.org/10.21437/Interspeech.2018-2286},
  researchr = {https://researchr.org/publication/TamuraHEHT18},
  cites = {0},
  citedby = {0},
  pages = {2469-2473},
  booktitle = {Interspeech 2018, 19th Annual Conference of the International Speech Communication Association, Hyderabad, India, 2-6 September 2018},
  editor = {B. Yegnanarayana},
  publisher = {ISCA},
}