You can find at GitHub some DeepMind's WaveNet neural network topologies implemented with Python's keras:
https://github.com/basveeling/wavenet You could translate it to R's keras with some work... It shall not be so difficult at all! :) https://cran.r-project.org/web/packages/keras/index.html An additional resource for Text Mining (Not Text to Speech, but for preprocessing), and which seems great for academics is the following one: https://www.tidytextmining.com/ Kind regards, Juan Telleria El jueves, 9 de abril de 2020, Manuel Spínola <mspinol...@gmail.com> escribió: > Dear list members, > > I am looking for text to speech resources in R to use in RStudio Notebooks > for teaching. > > Any help will be appreciated. > > Manuel > > > > -- > *Manuel Spínola, Ph.D.* > Instituto Internacional en Conservación y Manejo de Vida Silvestre > Universidad Nacional > Apartado 1350-3000 > Heredia > COSTA RICA > mspin...@una.cr <mspin...@una.ac.cr> > mspinol...@gmail.com > Teléfono: (506) 8706 - 4662 > Personal website: Lobito de río <https://sites.google.com/ > site/lobitoderio/> > Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/> > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-teaching@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-sig-teaching > [[alternative HTML version deleted]] _______________________________________________ R-sig-teaching@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
