Letter-based speech synthesis

Oliver Watts, Junichi Yamagishi, Simon King

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publicationProc. Speech Synthesis Workshop 2010
Publication statusPublished - Sep 2010


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