The Seventh ISCA Tutorial and Research Workshop on Speech Synthesis
Initial attempts at performing text-to-speech conversion based on standard orthographic units are presented, forming part of a larger scheme of training TTS systems on features that can be trivially extracted from text. We evaluate the possibility of using the technique of decision-tree-based context clustering conventionally used in HMM-based systems for parametertying to handle letter-to-sound conversion. We present the application of a method of compound-feature discovery to corpusbased speech synthesis. Finally, an evaluation of intelligibility of letter-based systems and more conventional phoneme-based systems is presented.
Index Terms: Statistical parametric speech synthesis, HMMbased speech synthesis, letter-to-sound conversion, graphemes
Bibliographic reference. Watts, Oliver / Yamagishi, Junichi / King, Simon (2010): "Letter-based speech synthesis", In SSW7-2010, 317-322.