DNN-Based Speech Synthesis: Importance of Input Features and Training Data

Alexandros Lazaridis, Blaise Potard, Philip N. Garner. DNN-Based Speech Synthesis: Importance of Input Features and Training Data. In Andrey Ronzhin, Rodmonga Potapova, Nikos Fakotakis, editors, Speech and Computer - 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings. Volume 9319 of Lecture Notes in Computer Science, pages 193-200, Springer, 2015. [doi]

@inproceedings{LazaridisPG15,
  title = {DNN-Based Speech Synthesis: Importance of Input Features and Training Data},
  author = {Alexandros Lazaridis and Blaise Potard and Philip N. Garner},
  year = {2015},
  doi = {10.1007/978-3-319-23132-7_24},
  url = {http://dx.doi.org/10.1007/978-3-319-23132-7_24},
  researchr = {https://researchr.org/publication/LazaridisPG15},
  cites = {0},
  citedby = {0},
  pages = {193-200},
  booktitle = {Speech and Computer - 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings},
  editor = {Andrey Ronzhin and Rodmonga Potapova and Nikos Fakotakis},
  volume = {9319},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-23131-0},
}